{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据集介绍\n",
    "\n",
    "这份红酒通用数据集，有1599个样本，12个特征。其中11个为红酒的理化性质，quality列为红酒的品质。本项目的目的是分析不同理化性质与红酒品质之间的关系。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入接下来要使用的python工具包\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "# 打印数据的精度\n",
    "pd.set_option('precision',3)\n",
    "\n",
    "# 设置调色板\n",
    "color = sns.color_palette()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>alcohol</th>\n",
       "      <th>quality</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.998</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.098</td>\n",
       "      <td>25.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.997</td>\n",
       "      <td>3.20</td>\n",
       "      <td>0.68</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.04</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.092</td>\n",
       "      <td>15.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0.997</td>\n",
       "      <td>3.26</td>\n",
       "      <td>0.65</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.2</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.56</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.075</td>\n",
       "      <td>17.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.998</td>\n",
       "      <td>3.16</td>\n",
       "      <td>0.58</td>\n",
       "      <td>9.8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.998</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \\\n",
       "0            7.4              0.70         0.00             1.9      0.076   \n",
       "1            7.8              0.88         0.00             2.6      0.098   \n",
       "2            7.8              0.76         0.04             2.3      0.092   \n",
       "3           11.2              0.28         0.56             1.9      0.075   \n",
       "4            7.4              0.70         0.00             1.9      0.076   \n",
       "\n",
       "   free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \\\n",
       "0                 11.0                  34.0    0.998  3.51       0.56   \n",
       "1                 25.0                  67.0    0.997  3.20       0.68   \n",
       "2                 15.0                  54.0    0.997  3.26       0.65   \n",
       "3                 17.0                  60.0    0.998  3.16       0.58   \n",
       "4                 11.0                  34.0    0.998  3.51       0.56   \n",
       "\n",
       "   alcohol  quality  \n",
       "0      9.4        5  \n",
       "1      9.8        5  \n",
       "2      9.8        5  \n",
       "3      9.8        6  \n",
       "4      9.4        5  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#读取红酒数据集\n",
    "\n",
    "df = pd.read_csv('D:\\\\Py_dataset\\\\winequality-red.csv',sep = ';')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1599, 12)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 特征说明\n",
    "\n",
    "* fixed acidity：非挥发性酸\n",
    "* volatile acidity：挥发性酸\n",
    "* citric acid：柠檬酸\n",
    "* residual sugar：残留糖分\n",
    "* chlorides：氯化物\n",
    "* free sulfur dioxide：游离的二氧化硫\n",
    "* total sulfur dioxide：二氧化硫总量\n",
    "* density：密度\n",
    "* PH：酸碱度\n",
    "* sulphates：硫酸盐\n",
    "* alcohol：酒精度\n",
    "* quality：品质"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1599 entries, 0 to 1598\n",
      "Data columns (total 12 columns):\n",
      "fixed acidity           1599 non-null float64\n",
      "volatile acidity        1599 non-null float64\n",
      "citric acid             1599 non-null float64\n",
      "residual sugar          1599 non-null float64\n",
      "chlorides               1599 non-null float64\n",
      "free sulfur dioxide     1599 non-null float64\n",
      "total sulfur dioxide    1599 non-null float64\n",
      "density                 1599 non-null float64\n",
      "pH                      1599 non-null float64\n",
      "sulphates               1599 non-null float64\n",
      "alcohol                 1599 non-null float64\n",
      "quality                 1599 non-null int64\n",
      "dtypes: float64(11), int64(1)\n",
      "memory usage: 150.0 KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>fixed acidity</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>8.320</td>\n",
       "      <td>1.741</td>\n",
       "      <td>4.600</td>\n",
       "      <td>7.100</td>\n",
       "      <td>7.900</td>\n",
       "      <td>9.200</td>\n",
       "      <td>15.900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>volatile acidity</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>0.528</td>\n",
       "      <td>0.179</td>\n",
       "      <td>0.120</td>\n",
       "      <td>0.390</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.640</td>\n",
       "      <td>1.580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>citric acid</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>0.271</td>\n",
       "      <td>0.195</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.090</td>\n",
       "      <td>0.260</td>\n",
       "      <td>0.420</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>residual sugar</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>2.539</td>\n",
       "      <td>1.410</td>\n",
       "      <td>0.900</td>\n",
       "      <td>1.900</td>\n",
       "      <td>2.200</td>\n",
       "      <td>2.600</td>\n",
       "      <td>15.500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chlorides</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>0.087</td>\n",
       "      <td>0.047</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.070</td>\n",
       "      <td>0.079</td>\n",
       "      <td>0.090</td>\n",
       "      <td>0.611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>15.875</td>\n",
       "      <td>10.460</td>\n",
       "      <td>1.000</td>\n",
       "      <td>7.000</td>\n",
       "      <td>14.000</td>\n",
       "      <td>21.000</td>\n",
       "      <td>72.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>46.468</td>\n",
       "      <td>32.895</td>\n",
       "      <td>6.000</td>\n",
       "      <td>22.000</td>\n",
       "      <td>38.000</td>\n",
       "      <td>62.000</td>\n",
       "      <td>289.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>density</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>0.997</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.990</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.997</td>\n",
       "      <td>0.998</td>\n",
       "      <td>1.004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pH</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>3.311</td>\n",
       "      <td>0.154</td>\n",
       "      <td>2.740</td>\n",
       "      <td>3.210</td>\n",
       "      <td>3.310</td>\n",
       "      <td>3.400</td>\n",
       "      <td>4.010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sulphates</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>0.658</td>\n",
       "      <td>0.170</td>\n",
       "      <td>0.330</td>\n",
       "      <td>0.550</td>\n",
       "      <td>0.620</td>\n",
       "      <td>0.730</td>\n",
       "      <td>2.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alcohol</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>10.423</td>\n",
       "      <td>1.066</td>\n",
       "      <td>8.400</td>\n",
       "      <td>9.500</td>\n",
       "      <td>10.200</td>\n",
       "      <td>11.100</td>\n",
       "      <td>14.900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quality</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>5.636</td>\n",
       "      <td>0.808</td>\n",
       "      <td>3.000</td>\n",
       "      <td>5.000</td>\n",
       "      <td>6.000</td>\n",
       "      <td>6.000</td>\n",
       "      <td>8.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       count    mean     std    min     25%     50%     75%  \\\n",
       "fixed acidity         1599.0   8.320   1.741  4.600   7.100   7.900   9.200   \n",
       "volatile acidity      1599.0   0.528   0.179  0.120   0.390   0.520   0.640   \n",
       "citric acid           1599.0   0.271   0.195  0.000   0.090   0.260   0.420   \n",
       "residual sugar        1599.0   2.539   1.410  0.900   1.900   2.200   2.600   \n",
       "chlorides             1599.0   0.087   0.047  0.012   0.070   0.079   0.090   \n",
       "free sulfur dioxide   1599.0  15.875  10.460  1.000   7.000  14.000  21.000   \n",
       "total sulfur dioxide  1599.0  46.468  32.895  6.000  22.000  38.000  62.000   \n",
       "density               1599.0   0.997   0.002  0.990   0.996   0.997   0.998   \n",
       "pH                    1599.0   3.311   0.154  2.740   3.210   3.310   3.400   \n",
       "sulphates             1599.0   0.658   0.170  0.330   0.550   0.620   0.730   \n",
       "alcohol               1599.0  10.423   1.066  8.400   9.500  10.200  11.100   \n",
       "quality               1599.0   5.636   0.808  3.000   5.000   6.000   6.000   \n",
       "\n",
       "                          max  \n",
       "fixed acidity          15.900  \n",
       "volatile acidity        1.580  \n",
       "citric acid             1.000  \n",
       "residual sugar         15.500  \n",
       "chlorides               0.611  \n",
       "free sulfur dioxide    72.000  \n",
       "total sulfur dioxide  289.000  \n",
       "density                 1.004  \n",
       "pH                      4.010  \n",
       "sulphates               2.000  \n",
       "alcohol                14.900  \n",
       "quality                 8.000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看数据的分布\n",
    "\n",
    "df.describe().T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.单变量分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure 1: Univariate boxplot\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# set plot style\n",
    "\n",
    "plt.style.use('ggplot')\n",
    "\n",
    "column = df.columns.tolist()\n",
    "fig = plt.figure(figsize = (10,6))\n",
    "\n",
    "for i in range(12):\n",
    "    plt.subplot(2,6,i+1)\n",
    "    sns.boxplot(df[column[i]],orient = 'v',width = 0.5,color = color[0])\n",
    "    plt.ylabel(column[i],fontsize = 12)\n",
    "    \n",
    "plt.tight_layout()\n",
    "print('Figure 1: Univariate boxplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure 2: Univariate histplot\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 单变量的直方图分布\n",
    "\n",
    "fig = plt.figure(figsize = (10,8))\n",
    "\n",
    "for i in range(12):\n",
    "    plt.subplot(4,3,i+1)\n",
    "    df[column[i]].hist(bins = 100,color = color[0])\n",
    "    plt.xlabel(column[i],fontsize = 12)\n",
    "    plt.ylabel('Frequency',fontsize = 12)\n",
    "    \n",
    "plt.tight_layout()\n",
    "print('Figure 2: Univariate histplot')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "该数据集研究的是红酒品质与理化性质之间的关系，红酒品质的取值范围为0~10，该数据集的取值范围为3~8。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 酸性相关的特征分析\n",
    "\n",
    "该数据集与酸度相关的特征有'fixed acidity', 'volatile acidity', 'citric acid','chlorides', 'free sulfur dioxide', 'total sulfur dioxide','PH'。其中前6中酸度特征都会对PH产生影响。PH在对数尺度，然后对6中酸度取对数做直方图。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure 3:Acidity feature in log10 scale\n"
     ]
    },
    {
     "data": {
      "image/png": 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wdepUeHl5YdWqVbh79y48PDwwa9YsODs7N3ofRLbMWLlLRMbDvCUSl94/0tuwYQMcHR0RGxsLmexhXe3r64vExMQmBbBlyxb06tULUVFRWL58Odq2bYu4uDj06NED0dHR6NGjB+Li4pq0DyJbZqzcLSwsRGRkJGbOnIlZs2bh0qVLKCgowOLFixEeHo7FixejoKDAEE0gsjnGylsi0o/eBXJ6ejomTJigc5nHxcUF9+/fb/TOi4qKcOHCBc1Nz2UyGZycnJCUlIShQ4cCAIYOHYqkpKRG74PI1hkjdwGe3BIZk7Hyloj0o/cQC0dHR+Tn5+ska05OTpPGRWVnZ8PFxQWxsbG4du0avL29MX78eJ3xVm5ubsjLy6vx9fHx8YiPjwcAREREQKFQNDoWsclkskbFb6w2GzOWxrbVEplDW42Ru1Unt9OmTQPwsJ0ymQxJSUlYtGgRgIcnt4sWLcK4ceOaFD+RLWpq3sbGxiIlJQWurq6IjIwEABQUFNQ4fFEQBGzZsgWpqalwcHBAWFgYvL29jdIuIkuhd4E8fPhwREZGYsyYMRAEAZcuXcKOHTvw7LPPNnrnFRUVuHLlCiZOnAgfHx9s2bKlQT1OSqUSSqVS8zgnJ6fRsYhNoVA0Kn5jtdmYsTS2rZaovrZ6eXkZPQZj5K41ndyaw0lMFUPHYup2GXN/5vY5GVtT8zYoKAgjRoxATEyMZlnVFZ6QkBDExcUhLi4O48aNQ2pqKrKyshAdHY2MjAxs3LgRS5YsMVbTiCyC3ln+0ksvoVmzZti0aRMqKirw5ZdfQqlUYuTIkY3euVwuh1wuh4+PDwAgICAAcXFxcHV1hVqthpubG9RqNVxcXBq9DyJbZ4zctaaTW3M6YTN0LKZulzH3Z26fk729vVH30dS89fPzQ3Z2ts6y2q7wJCcnY8iQIZBIJPD19UVhYaHmGExkq/QukCUSCYKDgxEcHGywnbdq1QpyuRy3bt2Cl5cX0tPT0a5dO7Rr1w5HjhxBSEgIjhw5gr59+xpsn0S2xhi5y5NbIuMyRt7WdoVHpVLp9M7L5XKoVCoWyGTT9C6Qz549W+tz3bt3b3QAEydORHR0NMrLy9G6dWuEhYVBEASsWrUKCQkJUCgUmD17dqO3b+04eQDVxxi5y5NbIuMy1jG3JoIgVFsmkUiqLWvs0ChzGRrTVOY0zMdQjNGm2rZnqr8XQ7VJ7wL5yy+/1Hmcl5eH8vJyyOXyJs3406lTJ0RERFRbvnDhwkZvk4j+x1i5y5NbIuMxRt7WdoVHLpfrDF/Jzc2tsfe4sUOjzGVoTFOZ0zAfQzFGm2rbnqn+Xgz12x+9C2Ttgf7Aw9l9vv32W7Ro0ULfTRCRCIyVuzy5JTIeY+Stv79/jVd4/P39cfDgQQQGBiIjIwOOjo4cXkE2T+/7IFd7oZ0dRo8ejf379xsyHiIyMuYukeVpaN5GRUXhgw8+wK1bt/DWW28hISEBISEhOHPmDMLDw3HmzBmEhIQAAHr37o3WrVsjPDwc69atw+TJk43ZFCKL0KR71Zw5cwZ2do2usYlIJMxdIsvTkLydOXNmjctrusIjkUhYFBM9Qu8CeerUqTqPS0tLUVpayqQiMnPMXSLLw7wlEpfeBfKMGTN0Hjs4OOCxxx6Do6OjwYMiIsNh7hJZHuYtkbj0LpD9/PyMGQcRGQlzl8jyMG+JxKV3gbx69eoa74v4qOnTpzcpICIyLOau5bK0+5w/Gm9ieG+RIrF8zFuyNpb2fab3r3ScnJyQlJSEyspKuLu7o7KyEklJSXB0dISnp6fmH1mfgdGpmn+WtG16iLlLZHmYt0Ti0rsH+fbt25g/fz6efPJJzbI//vgD3377LSZOnGiU4Mg6aBe/7FEyPeYukeVh3hKJS+8C+dKlS/Dx8dFZ1rVrV1y6dMngQRGR4TB3iSwP85Zslbl0quk9xKJz587YsWMHSktLATy85czOnTvRqVMnY8VGRAbA3CWxcAhV4zFvicSldw9yWFgYoqOj8c9//hPOzs4oKChAly5dEB4ebsz4iKiJmLtElod5SyQuvQvk1q1b49NPP0VOTg7UajXc3NygUCiMGRsRGQBzl8jyMG+JxNWguWbz8/Nx/vx5nD9/HgqFAiqVCrm5ucaKjYgMhLlLZHmYt0Ti0btAPn/+PGbOnIljx47h22+/BQBkZWVhw4YNRguOiJqOuUtkeZi3ROLSe4jF1q1bMXPmTPTo0QMTJkwA8PAXtX/++afRgiPx8Ec11oO5S2R5mLdE4tK7QL579y569Oih+2KZDBUVFQYPiogMh7lru3iia7mYt2SprOV7R+8hFu3atUNaWprOsvT0dHTo0MHgQRGR4TB3iSwP85ZIXHr3IL/++utYunQpevfujdLSUqxfvx6nT5/G3LlzjRkfETURc5fI8jBvicSld4Hs6+uL5cuX49ixY2jevDkUCgWWLFkCuVze5CAqKysxf/58uLu7Y/78+cjOzkZUVBQKCgrQuXNnzJgxAzKZ3qESkRZj5i4ZnrVcnqSmYd4SiUuvqrOyshKffPIJ3n//fbz00ksGD+I///kP2rZti+LiYgDA119/jeDgYAQGBmL9+vVISEjAc889Z/D9mhtzmV6RrIexc5cnt0SGZ+y8JaL66TUG2c7ODtnZ2RAEweAB5ObmIiUlBcOHDwcACIKAc+fOISAgAAAQFBSEpKQkg++XyBYYM3eB/53cVqk6uY2OjoaTkxMSEhKMsl8ia2bsvCWi+undtfPyyy9jw4YNCA0NrXaJx86uQfON6Ni6dSvGjRun6T3Oz8+Ho6MjpFIpAMDd3R0qlarG18bHxyM+Ph4AEBERYdGzDD3ay2aJbdEnZoVCAZlMVuO6ltjm+tTWVlMyVu5WndyOHj0aBw4c0Jzcvv322wAentzu2bPHJq7+EBmasfKWiPSjd4G8bt06AMDRo0erPbdr165G7fz06dNwdXWFt7c3zp071+DXK5VKKJVKzeOcnJxGxWEOHi2iLLEt+sSck5MDhUJR47qW2Ob61NbWKl5eXkaPwRi5C1jPya05nMRUsebhKE19j23tczJW3hJZEjGHntab5ffu3UOrVq2wZs0ag+/84sWLSE5ORmpqKkpLS1FcXIytW7eiqKgIFRUVkEqlUKlUcHd3N/i+yfA4htq8GDN3renktr6TGFMylwLQGJr6Hpvb52Rvb2+UbRszb4lIf/Vep6m6XOrh4QEPDw9s27ZN8/+qf4316quvYu3atYiJicHMmTPRvXt3hIeHo1u3bjhx4gQA4PDhw/D392/0PohslTFzt+rkdtq0aYiKisLZs2d1Tm4B8OSWqBGMmbdEpL96C+RHfyTQmN6ihnrttddw4MABzJgxAwUFBRg2bJjR90lkbYyZuzy5JTIOMY65RFRdvUMsJBKJKeJAt27d0K1bNwCAp6cnPv/8c5Ps11zxXqjUVKbKXW2vvfYaoqKisHPnTnTu3Jknt0QNJEbeElF19RbIFRUVOHv2rOZxZWWlzmMA6N69u+EjI6ImMVXu8uSWyHB4zCUyD/UWyK6urvjyyy81j52dnXUeSyQS/piAyAwxd8mc8Ee8+mHeEpmHegvkmJgYU8RBRAbG3CWyPMxbIvNgvTfdtBAca0xE/B4gInP36PeUtV8JYoFMJsVCgIiIyPJZ+/GcBTIRkQis/eBCRGTJOKE7EREREZEW9iCTUbB3jIjIPE2bNg3NmzeHnZ0dpFIpIiIiUFBQgFWrVuHu3bvw8PDArFmz4OzsLHaoRKJhgUxERGRjPvroI7i4uGgex8XFoUePHggJCUFcXBzi4uIwbtw4ESMkEheHWBARkUkNjE7V/CPzkJSUhKFDhwIAhg4diqSkJJEjIhIXe5CJiIhszGeffQYAePbZZ6FUKnH//n24ubkBANzc3JCXl1ftNfHx8YiPjwcAREREQKFQ6LUvfdczdzKZrFFt8V34s+b/lz551pAhNVlj2yQGfeM0VJtYIJNZ4qxbRETGsXjxYri7u+P+/fv49NNP4eXlpdfrlEollEql5nFOTo5er9N3PXOnUCia3BZzey8M0SZT0TfO+tqk7987h1gQERHZEHd3dwAPp7Xu27cvMjMz4erqCrVaDQBQq9U645OJbBELZCIiIhtRUlKC4uJizf/PnDmDDh06wN/fH0eOHAEAHDlyBH379hUzTCLRcYgFmQ3+YIeIyLju37+PFStWAAAqKiowaNAg9OrVC126dMGqVauQkJAAhUKB2bNnixwpkbhYIBMREdkIT09PLF++vNryli1bYuHChSJERGSeWCCTReGP94iIiMjYWCATEZFoeNJLJD7mYXX8kR4RERERkRZRe5BzcnIQExODe/fuQSKRQKlUYuTIkZwTnsjMMXdrV1tPDH+ESkSWgL3JD4laIEulUrz++uvw9vZGcXEx5s+fj6eeegqHDx+2ujnh+QdH1sSWcpeIiGyPqEMs3Nzc4O3tDQBo0aIF2rZtC5VKxTnhicwcc5eIiKyZ2fxILzs7G1euXEHXrl31mhOeiMwDc5eIyPJw2FfdzKJALikpQWRkJMaPHw9HR0e9XxcfH4/4+HgAQEREBBQKhbFCNChLidNc1PZ+Pbrcd+HPmv9f+uRZo8akL5lMZtWftzXkrjE/I2v+7I2hrvfLnHJJJjOLQycRGZHoWV5eXo7IyEgMHjwY/fv3BwDNnPBubm51zgmvVCqhVCo1j3NyckwSc1NZSpzmorb3q6730VzeY4VCUWcsXl5eJozGsKwld+v7jJrCXP4OLUVd75cxP6eGUigUsLe3FzsMMhFL/g3Ro73Elha/mEQtkAVBwNq1a9G2bVuMGjVKs7xqTviQkBDOCU+14uUh8TB3iYjImolaIF+8eBFHjx5Fhw4dMHfuXADA2LFjERISwjnhicwYc5eIyHBM1UvNjiX9iVogP/HEE9i9e3eNz3FOeKrChDY/zF0iItOw5CEehmTq90H0Mci2iAUfERERmTtbrlc41TQRERERkRb2IDcRL32YP35GRERE1BAskImIjMSWL08amvZ9znmiS6SLHUGGxwKZrBILEyIiImosFshERE3EEzLDYC8YUdPx+8gwWCATEZHZ4UGeiMTEApmIiIjIwvAk0rh4mzciIiIiIi3sQa4Dx8NZH36mVIV/C0REVBv2IBMRERERaWGBTERERESkhQUyEREREZEWFshERERERFr4I71H8LYptoM/0qL61PV9wL8ZIiLrxR5kIiIiIiIt7EFuBPYyExG/B4iIrBcLZD015mDIA6jlePSz4uVzIiIi28UhFkREREREWsy6BzktLQ1btmxBZWUlhg8fjpCQELFDIqqXrfdGGzpvTf1jSl75IVvFYy5ZClMcZ822QK6srMSmTZvwwQcfQC6XY8GCBfD390e7du0atT1THGR5YLUe+vy98POuztB5awj8LK2PPp+X9mdt6yet+jDH3CUSk9kWyJmZmWjTpg08PT0BAAMHDkRSUpLBk5UHRqoPbwenP1PlLVF9mvq7EVvLdeYukS6zLZBVKhXkcrnmsVwuR0ZGhogREVF9mLdElom5S5ZM++T20ifPGmSbZlsgC4JQbZlEItF5HB8fj/j4eABAREQEvLy8at3e1Yian6ttOVF9+LdTnT55Cxgmd/XF3Cd92fLfhKmOuZbIWN9B+q7D77CGq+tvU19mexcLuVyO3NxczePc3Fy4ubnprKNUKhEREYGIiAhTh2dw8+fPFzsEk2FbrZc+eQuYV+6a02dkTrEA5hUPYzEuQx9zrfE9Ypssg6HaZLYFcpcuXXD79m1kZ2ejvLwciYmJ8Pf3FzssIqoD85bIMjF3iXSZ7RALqVSKiRMn4rPPPkNlZSWeeeYZtG/fXuywiKgOzFsiy8TcJdJltgUyAPTp0wd9+vQROwyTUCqVYodgMmyrdbO0vDWnz8icYgHMKx7GYnyGzF1rfI/YJstgqDZJhJpG5hMRERER2SizHYNMRERERCQGsx5iYY3qm8ozJycHMTExKCwsRGVlJV599VWLulxdJTY2FikpKXB1dUVkZGS15wVBwJYtW5CamgoHBweEhYXB29tbhEibrr62Hjt2DPv37wcANG/eHJMnT0anTp1MHKVtKygowKpVq3D37l14eEn9qHMAACAASURBVHhg1qxZcHZ21lnn7Nmz2LZtm+bxrVu38Pbbb6Nfv36IiYnB+fPn4ejoCACYNm1aoz9DfWIBgFdeeQUdOnQAACgUCsybNw8AkJ2djaioKBQUFKBz586YMWMGZLLGfZXrE8vVq1exYcMGFBcXw87ODqNHj8bAgQMBwGDvS33fi2VlZVizZg0uX76Mli1bYubMmWjdujUAYN++fUhISICdnR0mTJiAXr16NeKd0D+WAwcO4NChQ5BKpXBxccHUqVPh4eEBoPbPzFbt3LkTycnJkEgkcHV1RVhYGNzd3cUOq0m2b9+O06dPQyaTwdPTE2FhYXBychI7rCb57bffsGfPHvz1119YsmQJunTpInZIjWLwqdIFMpmKigph+vTpQlZWllBWVibMmTNHuHHjhs46a9euFX766SdBEAThxo0bQlhYmBihNtm5c+eEP//8U5g9e3aNz58+fVr47LPPhMrKSuHixYvCggULTByh4dTX1j/++EPIz88XBEEQUlJSLLqtlmr79u3Cvn37BEEQhH379gnbt2+vc/38/Hxh/PjxQklJiSAIgrBmzRrht99+M2ks48aNq3F5ZGSk8OuvvwqCIAjr1q3TfF8YK5a//vpLuHXrliAIgpCbmyu8+eabQkFBgSAIhnlf9PlePHjwoLBu3TpBEATh119/FVauXCkIwsPvyDlz5gilpaXCnTt3hOnTpwsVFRVGjSU9PV3zd/HTTz9pYhGE2j8zW1VYWKj5/w8//KD5DC1ZWlqaUF5eLgjCw/yp77vEEty4cUP466+/hI8++kjIzMwUO5xG0Sd3G4pDLExIeypPmUymmcpTm0QiQVFREQCgqKioxnvIWgI/P78ae8WqJCcnY8iQIZBIJPD19UVhYSHUarUJIzSc+tr6+OOPa5738fHRudcomUZSUhKGDh0KABg6dGi1vHvUiRMn0Lt3bzg4OIgeizZBEHDu3DkEBAQAAIKCghr0+sbE4uXlhcceewwA4O7uDldXV+Tl5TV6n4/S53sxOTkZQUFBAICAgACcPXsWgiAgKSkJAwcORLNmzdC6dWu0adMGmZmZRo2le/fumr8LHx8fqFSqRu/P2lVdWQCABw8e1DhpkKXp2bMnpFIpAMDX19cqPv927doZZGINMemTuw3FIRYmpM9Unv/4xz/w6aef4uDBg3jw4AE+/PBDU4dpEiqVCgqFQvNYLpdDpVJZ7AmBvhISEtC7d2+xw7A59+/f1/xtubm51VvgHT9+HKNGjdJZtmPHDnzzzTfo3r07XnvtNTRr1syosZSVlWH+/PmQSqV46aWX0K9fP+Tn58PR0VFzgHZ3d2/SAbqh70tmZibKy8vh6empWdbU90Wf70XtdaRSKRwdHZGfnw+VSgUfHx/Nek19Pxo63XJCQoLOkI6aPjNbt2PHDhw9ehSOjo746KOPxA7HoBISEjTDjUhcxpgqnQWyCQl6TOV5/PhxBAUF4YUXXsClS5ewevVqREZGws7Oujr79XkvrM3Zs2fxyy+/4JNPPhE7FKu0ePFi3Lt3r9ryMWPGNGg7arUa169fR8+ePTXLXn31VbRq1Qrl5eVYt24d9u/fj5dfftmoscTGxsLd3R137tzBJ598gg4dOuj0yOnLkO/L6tWrMW3aNM33UUPfl5ro811Q2zo1LW+KhnwvHT16FJcvX8aiRYs0y2r6zNq0aWPQGM1NXX9fffv2xdixYzF27Fjs27cPBw8eRGhoqAhRNkx9bQKAvXv3QiqVYvDgwaYOr1H0aZMlM0ZNwQLZhPSZyjMhIQHvvfcegIeXb8rKypCfnw9XV1eTxmpscrkcOTk5mse1TUlsLa5du4Z169ZhwYIFaNmypdjhWKW6rra4urpCrVbDzc0NarUaLi4uta7722+/oV+/fjo/fKv622zWrBmeeeYZfP/990aPperHTJ6envDz88PVq1fRv39/FBUVoaKiAlKpFCqVqt4fPRkilqKiIkRERGDMmDHw9fXVLG/o+1ITfb4Xq9aRy+WoqKhAUVERnJ2dq71Wn/ejqbEAwJkzZ7Bv3z4sWrRIp8e8ps/M2gtkfa9yDho0CBERERZRINfXpsOHD+P06dNYuHChxXTsWOvV6Cr65m5DWFe3pJnTZypPhUKBs2fPAgBu3ryJsrKyOg/mlsrf3x9Hjx6FIAi4dOkSHB0drbZAzsnJwYoVKzB9+nSLH+dlqfz9/XHkyBEAwJEjR+rsMTl+/DgCAwN1llWNj68a99qUGcb0iaWgoABlZWUAgLy8PFy8eBHt2rWDRCJBt27dcOLECQAPD9RNmQ5Yn1jKy8uxYsUKDBkyBAMGDNB5zhDviz7fi08//TQOHz4M4OH48G7dukEikcDf3x+JiYkoKytDdnY2bt++ja5duzY4hobEcuXKFWzYsAHvvvuuTsdFbZ+ZLbt9+7bm/8nJyVbx/ZeWlob9+/dj3rx5RvmNAjWOMaZK50QhJpaSkoJt27ZppvIcPXo0du3ahS5dusDf3x83b97EunXrUFJSAgAYN26czqVeSxEVFYXz589rer9DQ0NRXl4OAHjuuecgCAI2bdqE33//Hfb29ggLC7PYW8vU19a1a9fi5MmTmjHXUqkUERERYoZsc/Lz87Fq1Srk5ORAoVBg9uzZcHZ2xp9//omff/4Zb731FoCHt1D78MMP8eWXX+oMa/r4448143M7duyIKVOmoHnz5kaL5eLFi1i/fj3s7OxQWVmJ4OBgDBs2DABw586dard5a+x4aH1iOXr0KL788kudYq/qdm6Gel/q+14sLS3FmjVrcOXKFTg7O2PmzJmacdB79+7FL7/8Ajs7O4wfP77JY/zri2Xx4sW4fv06WrVqBeB/t3Or6zOzVStWrMDt27chkUigUCgwZcoUi7/N24wZM1BeXq7zw+spU6aIHFXTnDp1Cps3b0ZeXh6cnJzQqVMnvP/++2KH1WA15W5TsEAmIiIiItLCIRZERERERFpYIBMRERERaWGBTERERESkhQUyEREREZEWFshERERERFpYIBvZtGnTcObMGYNs6/fff8eyZcs0j//44w+Eh4fj9ddfx6lTp7BkyRLNvUINKSYmBjt37jToNo8dO4ZPP/201ucXLVqEQ4cO6bVuXe7du4dZs2Zp7k9KVMWYudlYTc21119/HXfu3DHItpq6/0cdPnxYZ7KCutatz4oVK5CWltao15JtEyPv9+7di7Vr1zZo20057jXG+vXr8c0339T6fGhoKLKysgAA27Ztw3//+19ThSYazqRnQXbs2IGJEydqHu/evRsjRozAyJEjAQD9+vUTK7QGGzx4sN5TdD66bmhoKKKjo/WaoapVq1bo1q0b4uPj8fzzzzc6XqK6PJqbprBo0SIMHjwYw4cP1yzbvn27SWN4VEP2r71uTEwM5HK53tNfh4SEYMOGDejVq1eDYyQyFH3zXvt+vNnZ2Zg+fTp27NgBqVRa62sacow0hIbcy/nFF1/Ee++9h2HDhunMOGpt2INsITIzM1FUVKQzzevdu3dtfqYmfQwaNAjx8fFih0FWqqbcJOPq2rUriouL8eeff4odCtkoY+Z9RUWFwbdpSG5ubvDy8kJycrLYoRiV9Zb+ZqisrAz/+te/8NtvvwEABgwYgNdee00zC9b+/fvxww8/QCKRIDQ0FOvWrdP0lKalpcHPz0+zrRkzZiA7OxtLly6FnZ0dNm/ejM8++0zTo7Rhwwbk5eXhnXfeAQB8/fXXuHz5Mj788ENIJBKcPn0aO3fu1BTZb775Jjp27Ajg4VSqa9euxe3bt9G7d+8655rPysrCunXrcO3aNUgkEvTs2ROTJk2Ck5MTgIfTLG/duhUXLlyAIAgIDAzEpEmTcPjwYRw6dAiLFy8GAJw5cwabN2+GWq3GkCFDoD1/jfa6H330EQBg7ty5AICpU6fi22+/xdixYzXTSpaXl+P//u//8OGHH6JTp07w8fHBnTt3cPfuXXh4eDT9gySrY8jcXL9+PZo3b4433nhDs2zZsmXw8/PDqFGjcPPmTWzcuBFXr16Fu7s7Xn311RqnRC0oKMCaNWuQkZGByspKPP7443jzzTchl8uxY8cOXLhwARkZGdi6dSuCgoIwadKkOq+u1JXzj9qyZQtOnTqFoqIitGnTBuPHj8eTTz4JAKisrERcXBx++eUX3L9/H4899hjmzp0LhUKhs//8/HzExsbi/Pnz8PLyqjYjaNW6Z8+exa+//goA+OGHH9CtWzf4+fnh0qVLmDNnjmb9zZs3a2bLAwA/Pz+kpKRY7AycJD5D5j0A3LhxA1u3bsXly5chk8nw/PPPY/To0di9ezeysrIQHh6uOYZV/R1/+OGHuHXrFg4dOoQuXbrgyJEj+Nvf/oY2bdroHCNr2/ajUlJSsHPnTty5cweOjo545plnEBoaqnn+jz/+wNdff42bN2+iRYsWeOWVVxAUFFTtKs53332HAwcOQCKR4JVXXqm2n27duiElJQUBAQFN/BTMF3uQTWjv3r3IyMjAsmXLsHz5cmRmZuLbb78F8HB+9wMHDuDDDz9EdHQ0zp8/r/Pa69ev68xjv3r1as0Up9u3b6821ewbb7yB69ev4/Dhw7hw4QJ++eUXTJs2DRKJBJcvX8aXX36JKVOmYPPmzVAqlVi2bBnKyspQXl6O5cuXY/Dgwdi8eTMGDBiAkydP1tmuv//971i3bh1WrVqF3Nxc7NmzB8DDA+nSpUuhUCgQExODtWvXIjAwsNrr8/LyEBkZiTFjxmDTpk3w9PTExYsXa9zXxx9/DABYvnw5tm/fjoEDB2LIkCE4duyYZp3U1FS0atUKnTp1AvBwauc2bdrg2rVrdbaDbJchc3PQoEH47bffNCd5BQUF+P333zFw4ECUl5dj6dKleOqpp7Bx40ZMnDgR0dHRuHXrVrWYBEFAUFAQYmNjERsbC3t7e2zatAkAMHbsWDz55JOYOHEitm/fjkmTJtXZvrpyviZdunTBsmXLsHnzZgwaNAgrV65EaWkpAODAgQM4fvw4FixYgG3btmHq1KlwcHCoto1NmzahWbNmWLduHaZOnYpffvmlxn0plUoMGjQIL730ErZv34758+dj8ODB+P3331FYWAjgYY9aYmIihgwZonldu3btmNPUJIbM++LiYixevBi9evXSFNI9evSots+qY9jWrVuxfft2TQ90RkYGPD09sXHjxmqFr77bBgAHBwdMnz4dW7Zswfz58/Hzzz/j1KlTAB52WC1ZsgQjRozAxo0bsWzZMs1xUltaWhq+//57fPDBB/jiiy+Qnp5ebZ22bdtaff6xQDahX3/9Ff/v//0/uLq6wsXFBS+//LKmsEtMTMQzzzyD9u3bw8HBAf/4xz90XltYWIjmzZvrvS8HBwfMmDED27Ztw+rVqzFhwgTI5XIAwKFDh6BUKuHj4wM7OzsEBQVBJpMhIyMDly5dQkVFBYKDgyGTyRAQEFBnD02bNm3w1FNPoVmzZnBxcUFwcLDmiyQzMxMqlQqvv/46mjdvDnt7ezzxxBPVtpGamop27dohICAAMpkMwcHBaNWqld5tHTx4MFJTU1FUVAQAOHr0qM6BFABatGihOdgSPcqQuVnV03rhwgUAwIkTJ+Dr6wt3d3dkZGSgpKQEISEhkMlk6N69O/r06aPpQdXWsmVLBAQEwMHBAS1atMDo0aM122younK+JkOGDEHLli0hlUrxwgsvoLy8XFPEHzp0CGPGjIGXlxckEgk6deqEli1b6ry+srISJ0+exCuvvILmzZujQ4cOGDp0qN7xurm54cknn9T07KWlpaFly5bw9vbWrNO8eXPmNDWJIfP+9OnTaNWqFV544QXY29ujRYsW8PHx0TsWNzc3PP/885BKpbC3t9d5riHb7tatGzp06AA7Ozt07NgRgYGBmmPysWPH0KNHDwwaNAgymQwtW7assUBOTExEUFAQOnTogObNm1drO2Abx1QOsTAhlUqlc4nfw8MDKpUKAKBWq3UK0apitoqTkxNKSkoatL+uXbvC09MT9+/fx8CBAzXLc3JycOTIERw8eFCzrLy8HCqVChKJBO7u7jrDKhQKRa37uH//PrZs2YILFy6gpKQElZWVcHZ21uzHw8Ojzh8iAA/brt1eiURSrf11cXd3x+OPP46TJ0+iX79+SEtLw4QJE3TWKS4u1gz7IHqUIXNTIpEgMDAQx48fh5+fH44fP675sY1arYZCoYCd3f/6JrT3pe3BgwfYtm0b0tLSNAei4uJiVFZW6rxeH3XlfE2+//57JCQkaL4TiouLkZ+fDwDIzc2Fp6dnnfvLy8tDRUWFznvl4eHRoAJ/6NCh+O9//wulUoljx45VO+ktKSlhTlOTGDLv9cmLutR1nG3ItjMyMvDvf/8b169fR3l5OcrLyzXDIPTdjlqt1jkZrWlooi0cU1kgm5C7uzvu3r2L9u3bA3h40HJ3dwfw8OwxNzdXs672/wGgY8eONV6GrcvBgwdRVlYGd3d37N+/H3//+98BPEz00aNH1zh+6fz581CpVBAEQVMk5+bm1nrHiH//+98AHt52qWXLljh16hQ2b94M4GHC5+TkoKKios4iuVWrVjrtFQShWvvrM3ToUCQkJKCiokLTW1eloqICWVlZtY63JDJ0bgYGBuLTTz9FSEgIMjIyNGNp3dzckJOTo1Pk5uTk4LHHHqsW0/fff49bt25hyZIlaNWqFa5evYp3331XM3Sjrt8GPKqunH/UhQsXsH//fixcuBDt2rWDnZ0dJkyYoNmvXC7HnTt30KFDh1q34eLiAqlUitzcXLRt21bTztrU1Ja+ffti48aNuH79Ok6fPo1x48bpPH/z5k3mNDWJIfNeLpfj+PHj9e6zIXnb0G0DQHR0NP72t79hwYIFsLe3x9atW5GXl6fZTmZmZr3beLTtNeXuX3/9ZfX5xyEWJhQYGIi9e/ciLy8PeXl5+OabbzQ9SwMGDMDhw4dx8+ZNPHjwoNr9CHv37t2g3pdbt25h165dmDFjBqZPn47vvvsOV69eBQAMHz4cP//8MzIyMiAIAkpKSpCSkoLi4mL4+vrCzs4OP/74IyoqKnDy5Mk6E6q4uBjNmzeHk5MTVCoVvv/+e81zXbt2hZubG/71r3+hpKQEpaWl+OOPP6pto0+fPrhx4wZOnjyJiooK/Pjjj7h3716t+3R1da12/9R+/frhypUr+PHHH6v1NGVmZsLDw4M/0KNaGTo3O3fuDBcXF6xduxY9e/bU9LT4+PigefPm+O6771BeXo5z587h9OnTNY7NLykpgb29PRwdHVFQUKAZ21+lpjyoTV05/6ji4mJIpVK4uLigsrIS33zzjWb4UtW2du3ahdu3b0MQBFy7dk3Tu1zFzs4O/fr1w549e/DgwQPcvHkTR44cqTW+mtpib2+P/v37Izo6Gl27dq3Ww3bhwgX07t1br/YT1cSQef/000/j3r17+OGHH1BWVobi4uIahzC5uLhAIpE06B7g+m4beJi/zs7OsLe3R2Zmps7wrcGDByM9PR2JiYmoqKhAfn6+pi7Q9mjbH/3uAR52pln7bRZZIJvQ6NGj4e3tjTlz5mDOnDno3Lmzpkend+/eeP755/Hxxx8jPDxcM3C/6h6D3t7ecHR0rDUptFVUVGD16tV46aWX0KlTJzz22GMYO3YsVq9ejbKyMnTp0gX/93//h82bN2PChAkIDw/XTDAik8kwZ84cHD58GBMmTEBiYmKd91f+xz/+gStXruCf//wnPv/8c5117ezsMG/ePGRlZSEsLAxTp05FYmJitW24uLhg9uzZ+Pe//42JEyfi9u3bePzxx+vcZ0xMDMaPH6/ZXtXBNDs7G/3799dZ/9ixY3j22Wfrfd/IdhkjNwMDA5Geno5BgwZplslkMrz77rtITU3FpEmTsHHjRkyfPl3Ty6pt5MiRKC0txaRJk/D+++9XOxiNHDkSJ0+exIQJEzRXbWpTV84/qlevXujVqxfefvtthIWFoVmzZjrF6ahRozBgwAB8+umn+Oc//4m1a9dqfsCnbdKkSSgpKcGUKVMQExODoKCgWuMbNmwYbt68ifHjx+tMvBAUFITr16/XeNLr4OCArl271tluoroYMu9btGiBDz74AKdPn8aUKVMQHh6Oc+fOVdung4MDRo8ejQ8//BDjx4/HpUuX6o1T320DwOTJk7F792688cYb+OabbzBgwADNcwqFAgsWLMCBAwcwceJEvPvuuzUWyL1790ZwcLCm7d27d9d5Xq1W4+bNmxY190KjCGSWbty4IYSGhgrl5eWaZWlpacLSpUtFjMq87dmzR/jiiy90lt27d0+YOXOm8ODBA5GiImvD3DSdu3fvCq+99ppQWFios3z58uXC6dOnRYqKbBHz/n+2bdsmHDx4UOwwjE4iCFo3nCVRnTp1Cn369EFJSQliYmIgkUjw7rvvih2WRSgoKMC7776L6dOnV7s3JVFTMTdNr7KyEl999RWKiooQFhYmdjhkg5j3to0/0jMjP//8M2JiYmBnZwc/Pz9MnjxZ7JAsQnx8PLZt24bBgwezOCajYG6aVklJCd588014eHjgvffeEzscslHMe9vGHmQiIiIiIi38kR4RERERkRYWyEREREREWlggExERERFpYYFMRERERKSFBTIRERERkRYWyEREREREWlggExERERFpYYFMRERERKSFBTIRERERkRYWyEREREREWlggExERERFpkZliJ6Wlpfjoo49QXl6OiooKBAQEIDQ0FNnZ2YiKikJBQQE6d+6MGTNmQCaToaysDGvWrMHly5fRsmVLzJw5E61bt9ZrPzk5OSZokWEpFAqLjBuw3NjNJW4vLy+xQzALt27dqvU5c/ms6mMpcQKM1RCYu3XnrTGY69+CPhi7OGqKXd/cNUkPcrNmzfDRRx9h+fLlWLZsGdLS0nDp0iV8/fXXCA4ORnR0NJycnJCQkAAASEhIgJOTE1avXo3g4GD861//MkWYRERERESmKZAlEgmaN28OAKioqEBFRQUkEgnOnTuHgIAAAEBQUBCSkpIAAMnJyQgKCgIABAQE4OzZsxAEwRShEpGW2NhYTJ48Ge+8806157777juEhoYiLy8PACAIAjZv3owZM2Zgzpw5uHz5sqnDJSIiMgiTDLEAgMrKSsybNw9ZWVn429/+Bk9PTzg6OkIqlQIA3N3doVKpAAAqlQpyuRwAIJVK4ejoiPz8fLi4uOhsMz4+HvHx8QCAiIgIyGQyKBQKUzXJYCw1bsByY7fUuE0tKCgII0aMQExMjM7ynJwcpKen67yHqampyMrKQnR0NDIyMrBx40YsWbLE1CETERE1mckKZDs7OyxfvhyFhYVYsWIF/vrrr1rXram3WCKRVFumVCqhVCo1j8vLyy1ynIy1je+xBOYSt7mPY/Tz80N2dna15du2bcNrr72G5cuXa5YlJydjyJAhkEgk8PX1RWFhIdRqNdzc3EwZMhERUZOZrECu4uTkBD8/P2RkZKCoqAgVFRWQSqVQqVRwd3cHAMjlcuTm5kIul6OiogJFRUVwdnY2dahEVIPk5GS4u7ujU6dOOstVKpVOj7JcLodKpaqxQH706k9dvfmW0ttvKXECjJWIqD4mKZDz8vIglUrh5OSE0tJSpKen46WXXkK3bt1w4sQJBAYG4vDhw/D39wcAPP300zh8+DB8fX1x4sQJdOvWrcYeZCIyrQcPHmDv3r344IMPqj2n75UfoPrVn7p6882lt78+lhInwFgNwdyv/hBR05ikQFar1YiJiUFlZSUEQcCAAQPw9NNPo127doiKisLOnTvRuXNnDBs2DAAwbNgwrFmzBjNmzICzszNmzpxpijBt3sDoVM3/E8N7ixgJmas7d+4gOzsbc+fOBQDk5uZi3rx5+PzzzyGXy3UKmdzcXA6vaCLmJBHxe0AcJimQO3bsiGXLllVb7unpic8//7zacnt7e8yePdsUoRFRA3To0AEbN27UPJ42bRo+//xzuLi4wN/fHwcPHkRgYCAyMjLg6OjIApnIzBw4cAAJCQmQSCRo3749wsLCcO/evRrnJCCyZcwAIqpVVFQUzp8/j/z8fLz11lsIDQ3VXOl5VO/evZGSkoLw8HDY29sjLCzMxNESUV1UKhV+/PFHrFq1Cvb29li5ciUSExORkpKC4OBgBAYGYv369UhISMBzzz0ndrhEomKBTES1qm94k/bt3yQSCSZPnmzskIioCSorK1FaWgqpVIrS0lK0atUK586dw9tvvw3g4a0d9+zZwwKZbB4LZCIiIhvg7u6OF154AVOnToW9vT169uwJb2/vWuckeFRD7j5jDJZ8RxNDxS5G+231fWeBTEREZAMKCgqQlJSEmJgYODo6YuXKlUhLS9P79Q25+4wxmOsdTfRhqNjFaL+1ve/63oGGBTIREZENSE9PR+vWrTWz0vbv3x8XL16sdU4CIlvGApmIiDR4SynrpVAokJGRgQcPHsDe3h7p6eno0qVLrXMSENkyFshEREQ2wMfHBwEBAZg3bx6kUik6deoEpVKJPn361DgnAZEtY4FMRERkI0JDQxEaGqqzrLY5CYhsmZ3YARARERERmRMWyEREREREWlggExERERFpYYFMRERERKSFBTIRERERkRYWyEREREREWlggExERERFp4X2QqUacTYsAIDY2FikpKXB1dUVkZCQAYPv27Th9+jRkMhk8PT0RFhYGJycnAMC+ffuQkJAAOzs7TJgwAb169RIzfCIik9A+ZgI8bloD9iATUa2CgoLw3nvv6Sx76qmnEBkZiRUrVuCxxx7Dvn37AAA3b95EYmIiVq5ciffffx+bNm1CZWWlGGETERE1iUl6kHNychATE4N79+5BIpFAqVRi5MiR2L17Nw4dOgQXFxcAwNixY9GnTx8A7IkiMgd+fn7Izs7WWdazZ0/N/319fXHixAkAQFJSEgYOHIhmzZqhdevWz912wQAAIABJREFUaNOmDTIzM+Hr62vSmImIiJrKJAWyVCrF66+/Dm9vbxQXF2P+/Pl46qmnAADBwcF48cUXddbX7olSq9VYvHgxvvjiC9jZscObyJwkJCRg4MCBAACVSgUfHx/Nc+7u7lCpVGKFRkRE1GgmKZDd3Nzg5uYGAGjRogXatm1b54GTPVFE5m/v3r2QSqUYPHgwAEAQBL1fGx8fj/j4eABAREQEFApFrevKZLI6nzcXxo7TkNvWN1ZzeN8t5fMnIuti8h/pZWdn48qVK+jatSv++OMP/PTTTzh69Ci8vb3xxhtvwNnZmT1RRGbu8OHDOH36NBYuXAiJRAIAkMvlyM3N1ayjUqng7u5e4+uVSiWUSqXmcU5OTq37UigUdT5vLowdpyG3rW+s5vC+m+vn7+XlJXYIRGREJi2QS0pKEBkZifHjx8PR0RHPPfccXn75ZQDArl278NVXXyEsLEzvnqhHe6EstafB3OO2ht69R1lq3OYgLS0N+/fvx8cffwwHBwfNcn9/f0RHR2PUqFFQq9W4ffs2unbtKmKkRESGxTs82Q6TFcjl5eWIjIzE4MGD0b9/fwBAq1atNM8PHz4cS5cuBaB/T9SjvVDl5eVm2dNQH3PtIaliDb17jzKXuM29FyoqKgrnz59Hfn4+3nrrLYSGhmLfvn0oLy/H4sWLAQA+Pj6YMmUK2rdvjwEDBmD27Nmws7PDpEmT+LsBIiKySCYpkAVBwNq1a9G2bVuMGjVKs1ytVmvGJp86dQrt27cHwJ4oInMxc+bMasuGDRtW6/qjR4/G6NGjjRkSEZFFqa3Xmb3R5s0kBfLFixdx9OhRdOjQAXPnzgXw8JZux48fx9WrVyGRSODh4YEpU6YAAHuiiIiIiEg0JimQn3jiCezevbva8qp7HteEPVFEREREJAZ2yxIRERERaTH5bd6IiIiIqGbaY5NJPOxBJiIiIiLSwgKZiIiIiEgLC2QiIiIiIi0skImIiIiItLBAJiIiIiLSwrtYEBERkc3jzHakjT3IRERERERa2INMRESNxl43IrJG7EEmIiIiItLCHmQiIpGxF5ZMpbCwEGvXrsWNGzcgkUgwdepUeHl5YdWqVbh79y48PDwwa9YsODs7ix0qkahYIBNRrWJjY5GSkgJXV1dERkYCAAoKCmo8mAqCgC1btiA1NRUODg4ICwuDt7e3yC0gIm1btmxBr1698M4776C8vBwPHjzAvn370KNHD4SEhCAuLg5xcXEYN26c2KESiYpDLIioVkFBQXjvvfd0lsXFxaFHjx6Ijo5Gjx49EBcXBwBITU1FVlYWoqOjMWXKFGzcuFGMkImoFkVFRbhw4QKGDRsGAJDJZHByckJSUhKGDh0KABg6dCiSkpLEDJPILLAHmYhq5efnh+zsbJ1lSUlJWLRoEYCHB9NFixZh3LhxSE5OxpAhQyCRSODr64vCwkKo1Wq4ubmJEDkRPSo7OxsuLi6IjY3FtWvX4O3tjfHjx+P+/fuaPHVzc0NeXl6Nr4+Pj0d8fDwAICIiAgqFwmSxAw8LelPtU5/91LVObc81dHlj1zMkU77vhtaU2FkgE1GD1HYwValUOl9EcrkcKpWqxgK5IQdaS/lyNlScTT2A6kPfWBu6T2N8Tpby+VuCiooKXLlyBRMnToSPjw+2bNmiuQKkD6VSCaVSqXmck5NjjDBrpVAoTLZPffZT1zq1PdfQ5Y1dz5BM+b4bWk2xe3l56fVaFshEZBCCIFRbJpFIaly3IQdaS/lyNlScTT2A6kPfWBu6T2N8Tub6+et7kDUncrkccrkcPj4+AICAgADExcXB1dVVc7VHrVbDxcVF5EjJ1P5/e/ce12Td9wH8w4YIyEG2IQZKiscwz5BnPGGPiSl5Gx7SMjNTTFPTpKduLUslDTUUQvOAUml2kO7UrJRAjUwUKIVCSC0VDWGcJiCM7fnDx90MBlywjW3web9evF7sOn6va9d312/Xfgc2FK6JdZCJqEEe3EwBaN1MpVKpVkEmLy+P1SuIzEjbtm0hlUqRnZ0NALh48SI6dOgAHx8fJCQkAAASEhLg6+tryjCJzEKTPEHOzc1FREQECgoKYGVlBX9/f0yYMIGt4Yks0IObaWBgoNbN1MfHB8ePH8ewYcOQmZkJe3t7FpCJzMzcuXMRHh4OpVKJdu3aITg4GGq1Glu2bEFcXBxkMhmWL19u6jCpFkKe9PJpsGEILiAfO3YMw4cPb9RPL2KxGLNnz4aXlxdKS0sREhKCPn36ID4+XmfXMlVbw2dmZmLXrl1Yv359g/dLRPrl7tatW5Geno7i4mIsWLAAQUFBCAwM1Hkz7d+/P5KTk7FkyRLY2NggODjY0IdCRNAvpzt16oTQ0NAa01evXm2I0IiaDcEF5IsXL+LAgQPo1asX/Pz84Ovri1atWgla18XFRfMkyc7ODh4eHpDL5WwNT9QE9MndpUuX6pyu62ZqZWWFefPm6RUrEdVPn5ym5oNPio1LcAF51apVKC4uxk8//YSjR4/io48+wqBBg+Dn5wdvb2/BO8zJycHVq1fRtWtXg7SGJ6K6GSp3icg8MKeJjK9BdZAdHR0xfvx4jB8/Hn/99Re2b9+OH3/8ETKZDGPHjsWECRNga2tb6/plZWUICwvDnDlzYG9vX+tyQlvDV+8qylK7AzL3uJtDF1zVWWrcjaVv7hKReWFOU1VVnyaTYTS4kd7Fixdx+vRpJCUloUuXLnj55Zchk8lw7NgxrF+/HmvXrtW5nlKpRFhYGEaMGIFBgwYBQK1dywhtDV+9qyilUmmW3QHVx1y7MXqgOXTBVZ25xN2UXUU1NneJyDwxp4mMR3ABef/+/UhMTIS9vT38/PwQFhYGiUSimd+tWzc8//zzOtdVq9WIioqCh4cHJk6cqJnO1vBExqdP7hKR+WFOExmf4AJyRUUFVqxYga5du+rekLW1zpaxAJCRkYFTp07B09MTK1euBADMmDGDreGJmoA+uUtE5oc5TWR8ggvITz31FGxsbLSmKRQKlJeXa765enh46Fy3Z8+eOHTokM55bA1vWqy31Pzpk7tEZH6Y00TGJ3gkvU2bNkEul2tNk8vleP/99w0eFBEZDnOXqHlhThMZn+ACcnZ2Njw9PbWmeXp64ubNmwYPiogMh7lL1Lwwp4mMT3AB2cnJCbdv39aadvv2bTg6Oho8KCIyHOYuUfPCnCYyPsF1kEePHo2wsDBMnz4dbm5uuH37Nj777DOMGTPGmPERkZ6Yu0TNC3OayPgEF5ADAwNhbW2NmJgY5OXlQSqVYsyYMVrdthGR+WHuEjUvzGnzwEbuzZvgArJIJMKkSZMwadIkY8ZDRAbG3CVqXpjTRMbXoJH0srOzce3aNZSVlWlN5886ROaNuUvUvDCnmw6fFLdMggvIX331Fb788ks8/PDDaN26tdY8JiSR+WLukjmrWvhIXNLfhJFYDuY0kfEJLiA/GNv94YcfNmY8ZIZ4A7NsxsrdI0eOIC4uDlZWVujYsSOCg4NRUFCArVu3QqFQoHPnzli8eDGsrRv0QxUR1YP3YyLjE9zNm42NDUfmIbJAxshduVyOb7/9FqGhoQgLC4NKpUJiYiI+/vhjBAQEIDw8HG3atEFcXJxB90tEvB8TNQXBBeRp06Zhz549yM/Ph0ql0vojIvNlrNxVqVQoLy9HZWUlysvL0bZtW6SlpWHw4MEAgFGjRiEpKckQh0BEVfB+TGR8gn/7jIyMBACcPHmyxrzPPvvMcBERkUEZI3clEgmefPJJLFy4EDY2Nujbty+8vLxgb28PsVisWab6cLgPnDhxAidOnAAAhIaGQiaT1bova2vrOuebC0PFWds2DHkOhMba0H3qG6Ou9S3l/W9KvB8TGZ/gAvL27duNGQcRGYkxclehUCApKQkRERGwt7fH5s2bkZqaKnh9f39/+Pv7a17n5ubWuqxMJqtzvrkwVJy1bUPfbVdtS3B57ThB22voPvWNUdf65vr+u7u7m2zfvB83P+wpw/wILiC7uroCuP+zamFhIVxcXIwWFBEZjjFy9+LFi2jXrh2cnJwAAIMGDUJGRgZKSkpQWVkJsVgMuVwOiUSi977IPLCxrvng/ZjI+AQXkO/evYtdu3bh7NmzmhF8zp8/j6ysLEyfPt2YMRKRHoyRuzKZDJmZmbh37x5sbGxw8eJFdOnSBb169cLZs2cxbNgwxMfHw8fHx8BHQ0S8H1suPim2HIIb6X300Uewt7dHZGSkptum7t27IzEx0WjBEZH+jJG73bp1w+DBg7Fq1SqsWLECarUa/v7+eOaZZ3DkyBEsXrwYCoWCfbISGQHvx0TGJ/gJ8sWLF7Fjxw6tPk2dnJxQWFholMCIyDCMlbtBQUEICgrSmubm5oYNGzbotV0iqhvvxyRU9SfWrB4lnOAnyPb29iguLtaalpuby7pPRGaOuUvUvDCniYxP8BPksWPHIiwsDNOnT4darcbly5dx4MABjBs3rt51IyMjkZycDGdnZ4SFhQEADh06hJMnT2oa+cyYMQMDBgwAABw+fBhxcXEQiUR4/vnn0a9fv8YcGxFBv9wlIvPDnCYyPsEF5MmTJ6NVq1bYvXs3Kisr8eGHH8Lf3x8TJkyod91Ro0Zh/PjxiIiI0JoeEBCASZMmaU27ceMGEhMTsXnzZuTn5+Odd97BBx98AJFI8MNuIqpCn9wlIvPDnCYyPsEFZCsrKwQEBCAgIKDBO/H29kZOTo6gZZOSkjB06FC0atUK7dq1Q/v27ZGVlYXu3bs3eL9EpF/uEpH5YU4TGZ/gAvKlS5dqnffoo482auffffcdTp06BS8vLzz77LNwcHCAXC5Ht27dNMs0ZDQuSx1xyZLirh6nJcVelaXG3RjGyF0yLUtpeMO+k42DOU1kfIILyB9++KHW66KiIiiVSkil0kaN6vP4449j6tSpAO4Pjbl//34EBwdDrVYL3kb10biUSqVZjrhUH3MdKUqX6nFaUuxVmUvcTTEal6Fzl4hMS9+cVqlUCAkJgUQiQUhICHJycrB161YoFAp07twZixcv1uohg6glEpwB1esPq1QqfPnll7Czs2vUjtu2bav5f+zYsXjvvfcAAFKpFHl5eZp5HI2LSD+Gzl0iMi19c/rYsWPw8PBAaWkpAODjjz9GQEAAhg0bhp07dyIuLg6PP/64weMmsiSNbvkmEokwZcoUfP31141aPz8/X/P/uXPn0LFjRwCAj48PEhMTUVFRgZycHNy6dQtdu3ZtbJhEVI2+uUtE5qUhOZ2Xl4fk5GSMHTsWAKBWq5GWlobBgwcDuN+oPikpyajxkukMDU/R/FHd9PoN5bfffhPUu8TWrVuRnp6O4uJiLFiwAEFBQUhLS8O1a9dgZWUFV1dXzJ8/HwDQsWNHDBkyBMuXL4dIJMILL7zAHiyIDExo7hKRZRCa09HR0Zg1a5bm6XFxcTHs7e0hFosBNKzdT1O342jKtiP67scS2rjUFmNzaWsE6Be74ALywoULtV6Xl5ejvLwc8+bNq3fdpUuX1phW1xC0U6ZMwZQpU4SGRkR10Cd3icj8NDanL1y4AGdnZ3h5eSEtLa3B+63e7qep23E0ZdsRffdjDm1c6lNbjM2lrRGgO3ahbX8EF5AXL16s9bp169Z46KGHYG9vL3QTRGQCzF2i5qWxOZ2RkYHz588jJSUF5eXlKC0tRXR0NEpKSlBZWQmxWMx2P0T/T3AB2dvb25hxEJGRMHeJmpfG5vTMmTMxc+ZMAEBaWhq++eYbLFmyBJs3b8bZs2cxbNgwxMfHw8fHx5DhElkkwQXkbdu2wcrKqt7lXn75Zb0CIiLDYu4SNS+GzulnnnkGW7duxcGDB9G5c+c6q0BSy9KS+zIXXEBu06YNEhISMHDgQE2djgsXLmDkyJFwdHQ0ZoxEpAdj5e7du3cRFRWF69evw8rKCgsXLoS7uzu2bNmCO3fuwNXVFcuWLYODg4MBj4aIDJHTvXr1Qq9evQAAbm5u2LBhgzFDJrI4ggvIt27dQkhICB555BHNtD/++ANffvkl5s6da5TgyPxU7xrm8tpxJoqEhDJW7u7duxf9+vXDq6++CqVSiXv37uHw4cPo3bs3AgMDERsbi9jYWMyaNcsQh0GNwK6cmifej4mMT3A/T5cvX9YaAhoAunbtisuXLxs8KCIyHGPkbklJCX7//XfNT7HW1tZo06YNkpKSMHLkSADAyJEj2Z8qkRHwfkxkfIILyJ07d8aBAwdQXl4O4H63MgcPHkSnTp2MFRsRGYAxcjcnJwdOTk6IjIzEa6+9hqioKJSVlaGwsBAuLi4AABcXFxQVFRniEMjMcLAB0+L9mMj4BFexCA4ORnh4OJ577jk4ODhAoVCgS5cuWLJkiTHjIyI9GSN3KysrcfXqVcydOxfdunXD3r17ERsbK3j9hgw4YCmd1BsqTqGd9wudp4vQWBu6XX1j1LWMpbz/TYn3YyLjE1xAbteuHd59913k5uYiPz8fLi4u/NCyUHzq07IYI3elUimkUqnmZ97BgwcjNjYWzs7Omn3k5+fDyclJ5/oNGXDAUjqpN1ScQjvvFzpPF6VSqVmnrs+Dhm5X3xh1LWOu77/QwQaMgffjhmnJPTFQ4zVorNni4mKkp6cjPT0dMpkMcrkceXl5xoqNiAzE0Lnbtm1bSKVSZGdnAwAuXryIDh06wMfHBwkJCQCAhIQE+Pr6GiR+al5YRUN/vB8TGZfgJ8jp6ekICwuDl5cXMjIyMHnyZNy+fRv/+c9/EBISYswYiUgPxsrduXPnIjw8HEqlEu3atUNwcDDUajW2bNmCuLg4yGQyLF++3IBHQkQA78eWwJK//Fly7IYkuIAcHR2NpUuXonfv3nj++ecB3G81++effxotOCLSn7Fyt1OnTggNDa0xffXq1Xptl/TDm1vzx/sxkfEJLiDfuXMHvXv31l7Z2hqVlZUGD4qIDIe5S9S8MKfrp+8XRX7RJMF1kDt06IDU1FStaRcvXoSnp6fBgyIiw2HuEjUvzGki4xP8BHn27Nl477330L9/f5SXl2Pnzp24cOECVq5cacz4iEhPzF0yB3wiZzjMaSLjE1xA7t69OzZt2oTTp0/D1tYWMpkM69evh1QqNWZ8RKQn5i5ZouoFanbP9V/MaSLjE1RAVqlUWLt2Ld544w1MnjzZ2DERkYEwd4maF+Y0mUpL+9IqqA6ySCRCTk4O1Gq1seMhIgNi7hI1L8xpoqYhuIrF1KlT8dFHHyEoKKjGzzgiUd3l7MjISCQnJ8PZ2RlhYWEAAIVCgS1btuDOnTtwdXXFsmXL4ODgALVajb179yIlJQWtW7dGcHAwvLy8GnFoRATol7vUsrHesHliThMZn+AC8o4dOwAAp06dqjHvs88+q3PdUaNGYfz48YiIiNBMi42NRe/evREYGIjY2FjExsZi1qxZSElJwe3btxEeHo7MzEzs2rUL69evFxomEVWjT+5S7Th8LZkKc/q/mIdkLPUWkAsKCtC2bVts37690Tvx9vZGTk6O1rSkpCS89dZbAICRI0firbfewqxZs3D+/Hn4+fnBysoK3bt3x927dzVjzRORcIbIXSIyH8xpoqZTbwH5lVdewb59++Dq6goAeP/997FixQq9d1xYWKgp9Lq4uKCoqAgAIJfLIZPJNMtJpVLI5XKdBeQTJ07gxIkTAIDQ0FBYW1trrWspLDVuwHJjt9S4G8JYuUtEpsGcrhurBJEh1VtArt4QIC0tzWjB6NofAFhZWelc1t/fH/7+/prXSqUSubm5RovNWGQymUXGDfCc68vd3d1o227q3CUi42JOEzWdegvItRVO9eXs7KypOpGfnw8nJycA958YVy245OXlsXoFUSMYK3eJyDRaak4bq55xS3/i3NKPvz71FpArKytx6dIlzWuVSqX1GgAeffTRBu/Yx8cHCQkJCAwMREJCAnx9fTXTjx8/jmHDhiEzMxP29vYsIBM1grFyl4hMgzlN1HTqLSA7Ozvjww8/1Lx2cHDQem1lZVVvg4GtW7ciPT0dxcXFWLBgAYKCghAYGIgtW7YgLi4OMpkMy5cvBwD0798fycnJWLJkCWxsbBAcHNzYYyNq0QyRu0Tmgr0VMKcB/Z968qkpCVVvAblq12yNtXTpUp3TV69eXWOalZUV5s2bp/c+iVo6Q+RufVQqFUJCQiCRSBASEoKcnBxs3boVCoUCnTt3xuLFi2FtLbg3SSKqQ1PkNBHdxx7FiajRjh07Bg8PD83rjz/+GAEBAQgPD0ebNm0QFxdnwuiIiIgahwVkImqUvLw8JCcnY+zYsQDut7BPS0vD4MGDAdwfICgpKcmUIZqVoeEpWn9ERGS++NsnETVKdHQ0Zs2ahdLSUgBAcXEx7O3tIRaLAQASiQRyuVznutX7MK+rT2pL6LNaJpM1OM7alm3o9Prm6WKsc6rvNoWub+7XAxFZPhaQiajBLly4AGdnZ3h5eTWqL9bqfZjX1Se1ufRZXZfc3NwGx1nbsg2dXt88XYzVf7m+2xS6vjlcD8bsw5yITI8F5BaAP+eSoWVkZOD8+fNISUlBeXk5SktLER0djZKSElRWVkIsFkMul0MikZg6VGpC7GGAiJoLFpCJqMFmzpyJmTNnArg/mtc333yDJUuWYPPmzTh79iyGDRuG+Ph4+Pj4mDhSIiKihmMBmYgM5plnnsHWrVtx8OBBdO7cGWPGjDF1SET0/3JzcxEREYGCggJYWVnB398fEyZMgEKhwJYtW3Dnzh24urpi2bJlcHBwMHW4RCbFAjIR6aVXr17o1asXAMDNzQ0bNmwwcUREpItYLMbs2bPh5eWF0tJShISEoE+fPoiPj0fv3r0RGBiI2NhYxMbGYtasWaYOl8ik2M0bERFRC+Di4gIvLy8AgJ2dHTw8PCCXy5GUlISRI0cCAEaOHMnuGYnAAjIREVGLk5OTg6tXr6Jr164oLCyEi4sLgPuF6KKiIhNHR2R6rGJBRETUgpSVlSEsLAxz5syBvb294PUa0n85NX9V3//uq3/Q/H957ThThKOTPn2+s4BMRETUQiiVSoSFhWHEiBEYNGgQAMDZ2Rn5+flwcXFBfn4+nJycdK7bkP7LqflrTJ/tTU1X//RC+zBnAZmIiKgFUKvViIqKgoeHByZOnKiZ7uPjg4SEBAQGBiIhIQG+vr4mjJIsRXPvt5wFZCIiohYgIyMDp06dgqenJ1auXAkAmDFjBgIDA7FlyxbExcVBJpNh+fLlJo6UyPRYQCYiImoBevbsiUOHDumct3r16iaOhsi8sYBMeqlaMT9xSX8TRkJERETmpGo1DEsrI7CbNyIiIiKiKlhAJiIiIiKqwuRVLBYtWgRbW1uIRCKIxWKEhoZyXHgiIiIiMhmTF5ABYM2aNVr9LsbGxnJceCIiIiIyCbOsYsFx4YmIiIjIVMziCfK6desAAOPGjYO/v7/gceGrD3upz5CCpmSpcVdnScfQXM45EZElq62Xg+Y+CEVz1lzeO5MXkN955x1IJBIUFhbi3XffFTwEIFBz2EulUmlWQxwKpWsoREtkScdgLue8Ide7OcnNzUVERAQKCgpgZWUFf39/TJgwge0HiIioWTB5AVkikQC4Pxa8r68vsrKyBI8LT+bFkvs7pIYRi8WYPXs2vLy8UFpaipCQEPTp0wfx8fFsP0BERBbPpHWQy8rKUFpaqvn/t99+g6enp2ZceAAcF57IDLm4uMDLywsAYGdnBw8PD8jlcrYfICKiZsGkT5ALCwvx/vvvAwAqKysxfPhw9OvXD126dOG48EQWIicnB1evXkXXrl0b3X6grvrgllBfXCaTNTjO2pZt6PT65uliCee0LlVjrzqa5+W140wRDhE1QyYtILu5uWHTpk01pjs6OnJceD01l0ryZN7KysoQFhaGOXPmwN7eXvB61dsP1FUf3Fzqi9clNze3wXHWtmxDp9c3TxdLba/xQNVCcVVNeUyW2n6AiIQxy27eiMj8KZVKhIWFYcSIERg0aBAAaNoPAGD7ASIislgsIBNRg6nVakRFRcHDwwMTJ07UTGf7ASIiag5M3osFEVmejIwMnDp1Cp6enli5ciUAYMaMGQgMDGT7ASIisngsIJNRsMu35q1nz544dOiQznlsP0BERJaOVSyIiIiIiKpgAZmIiIiIqApWsWhG2LUbERERkf74BJmIiIiIqAo+QbZwfGpMRFQTGwoTkT74BJmIiIiIqAoWkImIiIiIqmABmYiIiIioChaQiYiIiIiqYCM9IiJq1qo3ZmajvabF80+WiE+QiYiIiIiq4BNkC9Rcu3Zjt0xERM1Dc71PUcvBAjIRETULLJQRkaGYdQE5NTUVe/fuhUqlwtixYxEYGGjqkEzGkj/463oy3NDjMsVTZj7ZbhhD52331T9o/uf5J2Nq6bnOey4ZkzHzyxjbNtsCskqlwu7du/Hmm29CKpXi9ddfh4+PDzp06GDq0JqEJReI6yL0uIRc7Gz4YX5aet4SWSrmLpE2sy0gZ2VloX379nBzcwMADB06FElJSUzWFqgxheqqhBawSX/MWyLLxNwl0ma2BWS5XA6pVKp5LZVKkZmZ2ejtWcJPZyywmT8+2a6bofO2qZjT5wM/B4yP57gmS81dImMx2wKyWq2uMc3Kykrr9YkTJ3DixAkAQGhoKGxsbODu7q5ze9dCdU83F+7u7mYfY3NzLTTASNttue+jkLwFauZubXkLNM35bMw+dK3T2ONo6P4Nsa0Hsbbk65X+qzH3XEPkbW3L8bqkhqjreqnrOq2L2faDLJVKkZeXp3mdl5cHFxcXrWX8/f0RGhqK0NBQAEBISEiTxmgolho3YLmxW2rc5k5I3gI1c7culvJeWUqcAGOlmhpzz21qlnwtMHbT0Cd2sy0gd+nSBbdu3UJOTg6USiUSExPh4+Nj6rCIqA7MWyLLxNwl0ma2VSzEYjHmzp2LdevWQaVSYfTo0ejYsaN8yzN/AAAa10lEQVSpwyKiOjBviSwTc5dIm9kWkAFgwIABGDBggODl/f39jRiN8Vhq3IDlxm6pcVuChuZtfSzlvbKUOAHGSroZOncNzZKvBcZuGvrEbqXWVTOfiIiIiKiFMts6yEREREREpmDWVSzqExMTgwsXLsDa2hpubm4IDg5GmzZtaixnbsNn/vzzz/j8889x8+ZNrF+/Hl26dNG53KJFi2BrawuRSASxWGyylsNVCY3d3M65QqHAli1bcOfOHbi6umLZsmVwcHCosdy0adPg6ekJAJDJZFi1alVTh9oi1Xe9VFRUYPv27bhy5QocHR2xdOlStGvXzixjjY+PR0xMDCQSCQBg/PjxGDt2bJPHGRkZieTkZDg7OyMsLKzGfLVajb179yIlJQWtW7dGcHAwvLy8mjxOoP5Y09LSsHHjRs17PmjQIEydOrWpw6QmYEnXbXWWfB3n5uYiIiICBQUFsLKygr+/PyZMmKC1jLmeeyGxN+rcqy1YamqqWqlUqtVqtTomJkYdExNTY5nKykr1yy+/rL59+7a6oqJCvWLFCvX169ebOlQt169fV9+8eVO9Zs0adVZWVq3LBQcHqwsLC5swsvoJid0cz3lMTIz68OHDarVarT58+LDOa0WtVqtnzZrVlGGRWtj1cvz4cfWOHTvUarVafebMGfXmzZtNEaqgWH/88Uf1rl27TBJfVWlpaeo///xTvXz5cp3zL1y4oF63bp1apVKpMzIy1K+//noTR/hf9cV66dIl9YYNG5o4KjIFS7puq7Pk61gul6v//PNPtVqtVpeUlKiXLFlS47PNXM+9kNgbc+4tuopF3759IRaLAQDdu3eHXC6vsUzV4TOtra01w2eaUocOHRrdcbWpCYndHM95UlISRo4cCQAYOXKkyeOh/xJyvZw/fx6jRo0CAAwePBiXLl3SObCBOcRqLry9vXX+SvLA+fPn4efnBysrK3Tv3h13795Ffn5+E0b4X/XFSi2HJV231Vnydezi4qJ5GmxnZwcPD48aZSpzPfdCYm8Mi65iUVVcXByGDh1aY7qlD5+5bt06AMC4ceMspiWpOZ7zwsJCTaf3Li4uKCoq0rlcRUUFQkJCIBaLMXnyZDz22GNNGWaLJOR6qbqMWCyGvb09iouL4eTkZHaxAsAvv/yC33//HQ899BCee+45yGSypgxTELlcrhWXVCqFXC7XObCLObh8+TJWrlwJFxcXzJ49m12QtVCWdt1WZwnXcU5ODq5evYquXbtqTbeEc19b7EDDz73ZF5DfeecdFBQU1Jg+ffp0+Pr6AgC++uoriMVijBgxosZyup4y6Rr61tCExC1kGxKJBIWFhXj33Xfh7u4Ob29vQ4eqc7/6xG6O51yoyMhISCQS/PPPP1i7di08PT3Rvn17Q4ZJ1Qi5Xkx1TVUnJI6BAwdi2LBhaNWqFb7//ntERERgzZo1TRWiYOZyToXo3LkzIiMjYWtri+TkZGzatAnh4eGmDotMwJKu2+os4TouKytDWFgY5syZA3t7e6155n7u64q9Mefe7AvI//73v+ucHx8fjwsXLmD16tU63yihQ98aWn1xC/GgkY+zszN8fX2RlZXVJAVkfWM3x3Pu7OyM/Px8uLi4ID8/v9Ynjw/OuZubG7y9vXHt2jUWkI1MyPXyYBmpVIrKykqUlJSY5KdMIbE6Ojpq/vf398cnn3zSZPE1hFQqRW5uruZ1U+VpY1S92Q0YMAC7d+9GUVFRk/+CQKZnSddtdeZ+HSuVSoSFhWHEiBEYNGhQjfnmfO7ri70x596i6yCnpqbi66+/xqpVq9C6dWudy1jq8JllZWUoLS3V/P/bb79pelcwd+Z4zn18fJCQkAAASEhI0PkkXKFQoKKiAgBQVFSEjIwMdOjQoUnjbImEXC8DBw5EfHw8AODs2bPo1auXSZ5cCIm1ap288+fPm+015OPjg1OnTkGtVuPy5cuwt7c3m5tddQUFBZqnV1lZWVCpVFpfRKjlsKTrtjpzvo7VajWioqLg4eGBiRMn6lzGXM+9kNgbc+4teqCQxYsXQ6lUap4kdevWDfPnz4dcLseOHTvw+uuvAwCSk5Oxb98+zfCZU6ZMMWXYOHfuHPbs2YOioiK0adMGnTp1whtvvKEV9z///IP3338fAFBZWYnhw4ebPG5AWOyA+Z3z4uJibNmyBbm5uZDJZFi+fDkcHBzw559/4ocffsCCBQuQkZGBnTt3QiQSQaVSISAgAGPGjDFp3C2Fruvls88+Q5cuXeDj44Py8nJs374dV69ehYODA5YuXQo3NzezjPXTTz/F+fPnIRaL4eDggHnz5sHDw6PJ49y6dSvS09NRXFwMZ2dnBAUFQalUAgAef/xxqNVq7N69G7/++itsbGwQHBxca7eNpo71+PHj+P777yEWi2FjY4Nnn30WPXr0MEmsZFyWdN1WZ8nX8R9//IHVq1fD09NT8/BhxowZmifG5nzuhcTemHNv0QVkIiIiIiJDs+gqFkREREREhsYCMhERERFRFSwgExERERFVwQIyEREREVEVLCATEREREVXBArIZWLRoEX777Te9t/Prr79i48aN9S536NChOkeQ0See33//Ha+88kqt8yMiInDw4MFGbfuBY8eOme3gC2RahsoloGY+/fHHH1iyZAlmz56Nc+fOGWQfhpaTk4OgoCBUVlYCuN/355o1a/Dss89i//79RtnnW2+9hZMnTwIATp8+jXfffVfvbe7cuRNffPFFrfODgoJw+/bterfz119/4c0339Q7HjIeY+assVW99g2l+v353LlzWLhwIWbPno2rV68adF9Azc+M9evXa/qc18fs2bPxzz//6JwXHx8veECyffv24fvvv9c7nsZgAbkZOXDgAAIDA00awyOPPIIPPvjAqPvw9/fH6dOnUVhYaNT9UMtWPZ8OHTqE8ePHIyYmBo899pgJIxPuxIkTcHR0xL59+/Dss88afX8jRowwSIF0/vz5mDp1qt7befjhh9GmTRucP39e722R+aues0K/SDV2+aYQExODuXPnIiYmBp07dzb6/v73f/8Xo0aN0ns7MTExBumrftKkSTh8+LCmP+mmxAJyM5GVlYWSkhJ0797dZDE8+AZqbDY2NujXr59mZDwiQ9OVT3fu3Kl1VDy1Wg2VStVU4QmWm5uLDh06NGrUwabKZ2MbPnw4Tpw4YeowyMjM4R5oDHfu3EHHjh0btW5zyGEXFxe4u7ub5EuudZPvkWpVUVGBTz75BD///DMAYMiQIXjmmWfQqlUrAMDXX3+No0ePwsrKCkFBQdixYwfCw8PRvn17pKamwtvbW2t7169fR3R0NK5cuQJra2s88cQTmhHtlEoltm/fjnPnzkEmk2HRokU6R8SpK6a0tDRs27YN48ePx9GjR9GnTx+MGTMG27ZtQ1RUFADg6tWriIqKwq1bt9C/f/8aN+oLFy7g4MGDmsLHiy++iIcffhgAEBsbi2+//RalpaVwcXHBvHnz0Lt3bwBAr169EBcXh0mTJhnq9FMzY8h8Wrx4MXJycvDee+9BJBJhz549WLduHXr06IH09HRcuXIFYWFhcHJywr59+5CSkgIrKyuMHj0aQUFBEInuP4uIi4vDN998g4KCAnTt2hXz58+Hq6trjdjLy8sRFRWF1NRUqFQqPPTQQ1i1ahXatm2LRYsW4aWXXkKfPn0A3H+yffv2bSxZskRrGxEREThz5gwA4OjRo1i5ciVOnz4NqVSK6dOnA4Amhx/k66JFizBu3DicOXMG2dnZiImJgVgs1trub7/9hj179iA/Px9+fn6oOtZUfHw8Tp48iXfeeQcAkJGRgejoaGRnZ8Pd3R1z5sxBjx49oFAosGLFCsybNw8+Pj4oKyvDypUrMXXqVIwcORIRERFacf7nP//BkSNHYGVlhWnTptV4nw8cOICff/4ZSqUSvr6+mDNnDmxsbADc/6yIiopCRUWF5r0n82TInF2zZg0AYOXKlQCAhQsXYujQoThx4gS+/vprKBQK9OzZEy+++CIkEonO5fv06YPt27cjMzMTKpUKPXr0wIsvvgipVFrvsWRlZWHXrl24desWbGxsMHz4cDz33HM1cg5AjZx+cC7mzp0LlUqFlStXom3btti2bRuCgoI0xwxAK1d03ZMXL16sFZdKpcLHH3+MhIQE2NnZ1Ria+a233sKIESMwduxYqFQqHD58GCdPnkR5eTn69euHuXPnwt7eHomJifj000+xceNG2NvbIyUlBZGRkZrPwapxFhcXIzIyEunp6XB3d0ffvn219nnz5k3s2bMHV65cgZOTE6ZNm4ahQ4dq5vfq1QvJyckYPHhwvefdkPgE2Yx89dVXyMzMxMaNG7Fp0yZkZWXhyy+/BACkpqbiyJEj+Pe//43w8HCkp6drrfv333/D3d1d87q0tBTvvPMO+vXrp/kQeVC4BO4XTIcOHYro6Gj4+Phgz549DY4JuF/HUaFQIDIyEi+99JLWukqlEps2bcKIESOwZ88eDBkyBL/88otm/pUrV/Dhhx9i/vz52LNnD/z9/bFx40ZUVFQgOzsb3333HTZs2ID9+/fjjTfe0CpIeHh44Nq1aw0/ydRiGDKftm3bBplMhlWrViEmJkZzwz516hTmz5+P/fv3QyaTYfv27RCLxQgPD8fGjRvx66+/auoonjt3DocPH8arr76KXbt2oWfPnrVWR0pISEBJSQk+/PBD7NmzBy+++KKmwCfUokWLMHz4cEyePBkxMTFaN9+6/PTTTwgJCUF0dHSNwnFRURHCwsIwffp07N69G25ubsjIyNC5HYVCgdDQUDzxxBPYs2cPAgICEBoaiuLiYjg4OGDhwoXYsWMHCgsLER0djU6dOmHkyJE1tpOamopvvvkGb775Jj744ANcvHhRa/4nn3yCW7duYdOmTQgPD4dcLteqvyyRSGBtbY3s7GxBx0+mY8icffvttwEAmzZtQkxMDIYOHYpLly7hwIEDWLZsGXbu3AlXV1dNDupaXq1WY9SoUYiMjERkZCRsbGywe/duQceyd+9eTJgwAfv27cO2bdswZMiQBp2LVq1aISYmRhPTtm3bBK1X1z0ZuF/tKjk5Ge+99x5CQ0O17snVxcfHIz4+HmvWrMH27dtRVlamOf6hQ4eie/fu2Lt3L4qLixEVFYUFCxbAycmpxnZ2796NVq1aYceOHVi4cCF+/PFHzbyysjK8++67GD58OHbt2oVXXnkFu3fvxvXr1zXLeHh44K+//hJ0/IbEArIZOXPmDP71r3/B2dkZTk5OmDp1Kk6fPg0ASExMxOjRo9GxY0e0bt0aTz/9tNa6d+/eha2treb1hQsX0LZtWzz55JOwsbGBnZ0dunXrppnfs2dPDBgwACKRCH5+frUWNuuKCYDmm3yrVq1q3MAvX76MyspKBAQEwNraGoMHD9Z6Sn3y5En4+/ujW7duEIlEGDVqFKytrZGZmQmRSISKigrcuHEDSqUS7dq103xjBgA7OzuUlJQ0/CRTi2HIfKrNqFGj0LFjR4jFYigUCqSmpmLOnDmwtbWFs7MzAgICkJiYCOD+jempp55Chw4dIBaL8dRTT+HatWu4c+dOje0+2N7t27chEong5eUFe3t7A5yV+j3xxBOQyWQ6C+QpKSno0KEDBg8eDGtrawQEBKBt27Y6t5OcnIz27dvDz88PYrEYw4cPh7u7Oy5cuAAA6Nu3L4YMGYK1a9ciJSUF8+fP17mdxMREjBo1Cp6enrC1tdV6r9RqNU6ePInnnnsODg4OsLOzw5QpU/DTTz9pbcPW1hZ3795t7CmhJmLsnD19+jRGjx4NLy8vtGrVCjNnzsTly5eRk5Ojc3lHR0cMHjwYrVu31lxbv//+u6Bjsba2xu3bt1FUVARbW9smq/pR1z0ZAH7++WdMmDABMpkMDg4OdbZbOnPmDCZOnAg3NzfY2tpi5syZSExM1FTdeOGFF3Dp0iW89dZbGDhwIAYOHFhjGyqVCr/88gumTZsGW1tbeHp6an0RTk5OhqurK0aPHg2xWAwvLy8MGjQIZ8+e1SxjZ2dnkvxlFQszIpfLtZ6Surq6Qi6XAwDy8/O1CpfVf+Jp06YNysrKNK/z8vLqrCDv7Oys+d/GxgYVFRWorKys8cSorpgAwMnJqdYnW/n5+ZBIJFrVKmQymeb/3NxcJCQk4Pjx45ppSqUScrkc3t7emDNnDj7//HPcuHEDffv2xbPPPguJRALg/hPypiowkGUyZD7Vpup6ubm5qKys1CroqdVqzTJ37tzB3r17tXqTUKvVNeIEAD8/P+Tl5WHr1q0oKSnBiBEjMH36dFhbG/8ju2qOVpefn691zFZWVrX+3KzruKp/fvj7++P48eN46qmn4OjoWOs+vby8tLbxQFFREe7du4eQkBDNNF31wcvKytCmTZtaj4vMg7FzNj8/X6uhm62tLRwcHCCXy9GuXbsay9+7dw/79u1DamqqpoBWWloKlUqlqTZVmwULFuCzzz7DsmXL0K5dO0ydOlVnAdLQ6ronA/fPQdUc11XFq+qyVefLZDJUVlaisLAQEokEbdq0wZAhQ3DkyBG8+uqrOrdRVFSEyspKrffL1dVV80Xjzp07yMzMxJw5czTzKysr4efnp3ldWlpqkvxlAdmMSCQSrQr5ubm5mgKhi4sL8vLyNMtW/R+431q76k+IUqm0xlMUQ8cEoM7GPy4uLpDL5VCr1Zrl8vLyNE+CpVIppkyZoqkXXd3w4cMxfPhwlJSUYOfOnfjkk0809alu3ryJTp066X181HwZMp9qU/X6l0qlsLa2xu7du2t80QTu31ymTJmCESNG1Ltda2trPP3003j66aeRk5ODDRs2wN3dHWPGjEHr1q1RXl6uWbagoKDe7T3QunVr3Lt3r1HrAkDbtm21zpVara5x7h6QSCQ1fr7Nzc1Fv379ANx/srRz5074+fnh+++/x+jRo7V+JXqg+nuVm5ur+d/R0RE2NjbYvHmz1udSVXK5HEqlUuvndzJPxs5ZFxcXreunrKwMCoWi1mvnm2++QXZ2NtavX4+2bdvi2rVreO2117Tq3dfmoYcewtKlS6FSqXDu3Dls3rwZu3fvrpGDKpUKRUVF9W7vAV05XP1La12qn4Oq/+tatuovXLm5uRCLxZoHbNeuXcOPP/6IYcOGYe/evXjjjTdqbMPJyQlisRh5eXnw8PCosU+pVApvb+86u327efOmpm1SU2IVCzMybNgwfPXVVygqKkJRURG++OILzc10yJAhiI+Px40bN3Dv3r0afYT2799f66efgQMHoqCgAEePHkVFRQVKS0uRmZlp0Jjq0717d4hEInz77beorKzEL7/8gqysLM38sWPH4ocffkBmZibUajXKysqQnJyM0tJSZGdn49KlS6ioqICNjQ1sbGy0vrGnp6drbrREuhgyn4RwcXFB3759sX//fpSUlEClUuH27duaupLjxo1DbGyspm5dSUmJpjFSdZcuXcLff/8NlUoFe3t7WFtba67/Tp064aeffoJSqcSff/5ZZx3C6jp16oSUlBQoFAoUFBTg2LFjDTrGAQMG4Pr16/jll19QWVmJb7/9ttZCdv/+/XHr1i2cOXMGlZWVSExMxI0bNzBgwAAA9+ubAkBwcDCefPJJbN++XWdPINXfq88//1wzTyQSYezYsYiOjtZ0+yiXy5GamqpZJj09HY8++igb6FkAQ+ess7OzVl+8w4cPx48//ohr165pGnd27dpV8/S4+vJlZWWwsbGBvb09FAqF1rVXn1OnTqGoqAgikUjza6dIJIK7uzsqKiqQnJwMpVKJL7/8EhUVFYK326lTJ5w5cwYqlQqpqak16mLXZ8iQIfj222+Rl5cHhUKB2NjYWpcdNmwYjh49ipycHJSVleHAgQMYMmQIxGIxysvLsW3bNsyYMQPBwcGQy+X47rvvamxDJBLhsccew+eff4579+7hxo0bWj1QDRw4ELdu3cKpU6egVCqhVCqRlZWFGzduaJYx1f2eT5DNyJQpU1BSUoIVK1YAAAYPHqx5utq/f3888cQTePvttyESifCvf/0Lp06d0vzk+qCOYmZmJrp16wY7Ozu8+eabiI6OxhdffKGpL1i1HrK+MdXH2toaK1aswI4dO3Dw4EH0799fq//YLl264KWXXsKePXs0LX179uyJRx55RNOa+ebNmxCLxejRo4fmp+vy8nKkpKQgNDS0QcdCLYsh80mol19+GZ988gmWL1+O0tJSuLm5YfLkyQCAxx57DGVlZdi6dStyc3Nhb2+P3r1762y8U1BQgI8++ghyuRy2trYYMmSIpqAwbdo0fPDBB3j++efh7e2NYcOGQaFQCIrPz88PFy9exKJFi+Dq6opRo0bhyJEjgo/PyckJy5cvx969exEZGQk/Pz/06NFD57KOjo4ICQnB3r178dFHH6F9+/YICQmBk5MTrly5gqNHj2LDhg0QiUQIDAxESkoKYmNja3y+9O/fHwEBAZr3atq0aZreOQDgmWeewRdffIE33ngDxcXFkEgkGDdunOaGevr0aYwbN07wMZLpGDpnn376aURERKC8vBzz58/H0KFDMW3aNISFhUGhUKBHjx5YunSpZv/Vl58wYQLCw8PxwgsvQCKRYOLEiUhKShJ0LKmpqdi/fz/u3bsHV1dXvPLKK5qHPfPmzUNUVBRUKhUmTZokqFeMB+bMmYOIiAh899138PX1ha+vr+B1gfsPprKzs7Fy5UrY2dnhySefxKVLl3QuO3r0aOTn52PNmjUoLy9H3759MXfuXADAp59+ColEgscffxzA/Z5+3n77bfTp0wcPPfSQ1nZeeOEFREZGYv78+XB3d8eoUaOQlpYGAJqyyr59+7Bv3z6o1Wo8/PDDeO655wDcr+Zx48YNk/Q9b6UW8lsBmZ0bN27g1Vdfxaeffqr5OffXX3/Fd999h9dee83E0RnXg2+/s2bNMnUo1Ey05Hxqzv7++2/s2LED69atM3UoZGDM2ZZh//79cHNzw//8z/80+b5ZQLYg586dw4ABA1BWVoaIiAhYWVnxg4CokZhPRJaFOUtNiVUsLMgPP/yAiIgIiEQieHt7Y968eaYOichiMZ+ILAtzlpoSnyATEREREVXBXiyIiIiIiKpgAZmIiIiIqAoWkImIiIiIqmABmYiIiIioChaQiYiIiIiqYAGZiIiIiKiK/wPm4LGDRJmtLgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x432 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "acidityfeat = ['fixed acidity', 'volatile acidity', 'citric acid', 'chlorides', 'free sulfur dioxide', 'total sulfur dioxide',]\n",
    "\n",
    "fig = plt.figure(figsize = (10,6))\n",
    "\n",
    "for i in range(6):\n",
    "    plt.subplot(2,3,i+1)\n",
    "    v = np.log10(np.clip(df[acidityfeat[i]].values,a_min = 0.001,a_max = None))\n",
    "    plt.hist(v,bins = 50,color = color[0])\n",
    "    plt.xlabel('log('+ acidityfeat[i] +')',fontsize = 12)\n",
    "    plt.ylabel('Frequency')\n",
    "    \n",
    "plt.tight_layout()\n",
    "print('Figure 3:Acidity feature in log10 scale')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure 4\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (6,3))\n",
    "\n",
    "bins = 10**(np.linspace(-2,2))\n",
    "plt.hist(df['fixed acidity'],bins = bins, edgecolor = 'k',label = 'fixed acidity')\n",
    "plt.hist(df['volatile acidity'],bins = bins, edgecolor = 'k',label = 'volatile acidity')\n",
    "plt.hist(df['citric acid'],bins = bins, alpha = 0.8,edgecolor = 'k',label = 'citric acid')\n",
    "\n",
    "plt.xscale('log')\n",
    "plt.xlabel('Acid concentration(g/dm^3)')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Historgram of Acid Concentration')\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "print('Figure 4')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>fixed acidity</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>8.320</td>\n",
       "      <td>1.741</td>\n",
       "      <td>4.600</td>\n",
       "      <td>7.100</td>\n",
       "      <td>7.900</td>\n",
       "      <td>9.200</td>\n",
       "      <td>15.900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>volatile acidity</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>0.528</td>\n",
       "      <td>0.179</td>\n",
       "      <td>0.120</td>\n",
       "      <td>0.390</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.640</td>\n",
       "      <td>1.580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>citric acid</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>0.271</td>\n",
       "      <td>0.195</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.090</td>\n",
       "      <td>0.260</td>\n",
       "      <td>0.420</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>residual sugar</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>2.539</td>\n",
       "      <td>1.410</td>\n",
       "      <td>0.900</td>\n",
       "      <td>1.900</td>\n",
       "      <td>2.200</td>\n",
       "      <td>2.600</td>\n",
       "      <td>15.500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chlorides</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>0.087</td>\n",
       "      <td>0.047</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.070</td>\n",
       "      <td>0.079</td>\n",
       "      <td>0.090</td>\n",
       "      <td>0.611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>15.875</td>\n",
       "      <td>10.460</td>\n",
       "      <td>1.000</td>\n",
       "      <td>7.000</td>\n",
       "      <td>14.000</td>\n",
       "      <td>21.000</td>\n",
       "      <td>72.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>46.468</td>\n",
       "      <td>32.895</td>\n",
       "      <td>6.000</td>\n",
       "      <td>22.000</td>\n",
       "      <td>38.000</td>\n",
       "      <td>62.000</td>\n",
       "      <td>289.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>density</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>0.997</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.990</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.997</td>\n",
       "      <td>0.998</td>\n",
       "      <td>1.004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pH</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>3.311</td>\n",
       "      <td>0.154</td>\n",
       "      <td>2.740</td>\n",
       "      <td>3.210</td>\n",
       "      <td>3.310</td>\n",
       "      <td>3.400</td>\n",
       "      <td>4.010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sulphates</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>0.658</td>\n",
       "      <td>0.170</td>\n",
       "      <td>0.330</td>\n",
       "      <td>0.550</td>\n",
       "      <td>0.620</td>\n",
       "      <td>0.730</td>\n",
       "      <td>2.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alcohol</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>10.423</td>\n",
       "      <td>1.066</td>\n",
       "      <td>8.400</td>\n",
       "      <td>9.500</td>\n",
       "      <td>10.200</td>\n",
       "      <td>11.100</td>\n",
       "      <td>14.900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quality</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>5.636</td>\n",
       "      <td>0.808</td>\n",
       "      <td>3.000</td>\n",
       "      <td>5.000</td>\n",
       "      <td>6.000</td>\n",
       "      <td>6.000</td>\n",
       "      <td>8.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       count    mean     std    min     25%     50%     75%  \\\n",
       "fixed acidity         1599.0   8.320   1.741  4.600   7.100   7.900   9.200   \n",
       "volatile acidity      1599.0   0.528   0.179  0.120   0.390   0.520   0.640   \n",
       "citric acid           1599.0   0.271   0.195  0.000   0.090   0.260   0.420   \n",
       "residual sugar        1599.0   2.539   1.410  0.900   1.900   2.200   2.600   \n",
       "chlorides             1599.0   0.087   0.047  0.012   0.070   0.079   0.090   \n",
       "free sulfur dioxide   1599.0  15.875  10.460  1.000   7.000  14.000  21.000   \n",
       "total sulfur dioxide  1599.0  46.468  32.895  6.000  22.000  38.000  62.000   \n",
       "density               1599.0   0.997   0.002  0.990   0.996   0.997   0.998   \n",
       "pH                    1599.0   3.311   0.154  2.740   3.210   3.310   3.400   \n",
       "sulphates             1599.0   0.658   0.170  0.330   0.550   0.620   0.730   \n",
       "alcohol               1599.0  10.423   1.066  8.400   9.500  10.200  11.100   \n",
       "quality               1599.0   5.636   0.808  3.000   5.000   6.000   6.000   \n",
       "\n",
       "                          max  \n",
       "fixed acidity          15.900  \n",
       "volatile acidity        1.580  \n",
       "citric acid             1.000  \n",
       "residual sugar         15.500  \n",
       "chlorides               0.611  \n",
       "free sulfur dioxide    72.000  \n",
       "total sulfur dioxide  289.000  \n",
       "density                 1.004  \n",
       "pH                      4.010  \n",
       "sulphates               2.000  \n",
       "alcohol                14.900  \n",
       "quality                 8.000  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe().T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 甜度（sweetness）\n",
    "\n",
    "residual sugar主要与酒的甜度有关，干红（<= 4g/L），半干（4-12g/L），半甜（12-45g/L），甜（>= 45g/L），该数据集中没有甜葡萄酒。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>alcohol</th>\n",
       "      <th>quality</th>\n",
       "      <th>sweetness</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.998</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "      <td>dry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.098</td>\n",
       "      <td>25.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.997</td>\n",
       "      <td>3.20</td>\n",
       "      <td>0.68</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "      <td>dry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.04</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.092</td>\n",
       "      <td>15.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0.997</td>\n",
       "      <td>3.26</td>\n",
       "      <td>0.65</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "      <td>dry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.2</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.56</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.075</td>\n",
       "      <td>17.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.998</td>\n",
       "      <td>3.16</td>\n",
       "      <td>0.58</td>\n",
       "      <td>9.8</td>\n",
       "      <td>6</td>\n",
       "      <td>dry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.998</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "      <td>dry</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \\\n",
       "0            7.4              0.70         0.00             1.9      0.076   \n",
       "1            7.8              0.88         0.00             2.6      0.098   \n",
       "2            7.8              0.76         0.04             2.3      0.092   \n",
       "3           11.2              0.28         0.56             1.9      0.075   \n",
       "4            7.4              0.70         0.00             1.9      0.076   \n",
       "\n",
       "   free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \\\n",
       "0                 11.0                  34.0    0.998  3.51       0.56   \n",
       "1                 25.0                  67.0    0.997  3.20       0.68   \n",
       "2                 15.0                  54.0    0.997  3.26       0.65   \n",
       "3                 17.0                  60.0    0.998  3.16       0.58   \n",
       "4                 11.0                  34.0    0.998  3.51       0.56   \n",
       "\n",
       "   alcohol  quality sweetness  \n",
       "0      9.4        5       dry  \n",
       "1      9.8        5       dry  \n",
       "2      9.8        5       dry  \n",
       "3      9.8        6       dry  \n",
       "4      9.4        5       dry  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['sweetness'] = pd.cut(df['residual sugar'],bins = [0,4,12,45],labels = ['dry','semi-dry','semi-sweet'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure 5\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (6,4))\n",
    "df['sweetness'].value_counts().plot(kind = 'bar',color = color[0])\n",
    "plt.xticks(rotation = 0)\n",
    "plt.xlabel('sweetness')\n",
    "plt.ylabel('frequency')\n",
    "\n",
    "plt.tight_layout()\n",
    "print('Figure 5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 创建一个新特征total acid\n",
    "\n",
    "df['total acid'] = df['fixed acidity'] + df['volatile acidity'] + df['citric acid']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = df.columns.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns.remove('sweetness')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['fixed acidity',\n",
       " 'volatile acidity',\n",
       " 'citric acid',\n",
       " 'residual sugar',\n",
       " 'chlorides',\n",
       " 'free sulfur dioxide',\n",
       " 'total sulfur dioxide',\n",
       " 'density',\n",
       " 'pH',\n",
       " 'sulphates',\n",
       " 'alcohol',\n",
       " 'quality',\n",
       " 'total acid']"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure 7:PhysicoChemico Propertise and Wine Quality by Boxplot\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('ticks')\n",
    "sns.set_context('notebook',font_scale = 1.1)\n",
    "\n",
    "column = columns[0:11] + ['total acid']\n",
    "\n",
    "\n",
    "plt.figure(figsize = (10,8))\n",
    "for i in range(12):\n",
    "    plt.subplot(4,3,i+1)\n",
    "    sns.boxplot(x = 'quality',y = column[i], data = df,color = color[1],width = 0.6)\n",
    "    plt.ylabel(column[i],fontsize = 12)\n",
    "plt.tight_layout()\n",
    "\n",
    "print('Figure 7:PhysicoChemico Propertise and Wine Quality by Boxplot')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从上图可以看出：\n",
    "\n",
    " * 红酒品质与柠檬酸，硫酸盐，酒精度成正相关\n",
    " * 红酒品质与易挥发性酸，密度，PH成负相关\n",
    " * 残留糖分，氯离子，二氧化硫对红酒品质没有什么影响"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure 8:Pairwise colleration plot\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('dark')\n",
    "\n",
    "plt.figure(figsize = (10,8))\n",
    "\n",
    "mcorr = df[column].corr()\n",
    "mask = np.zeros_like(mcorr,dtype = np.bool)\n",
    "mask[np.triu_indices_from(mask)] = True\n",
    "cmap = sns.diverging_palette(220, 10, as_cmap=True)\n",
    "g = sns.heatmap(mcorr, mask=mask, cmap=cmap, square=True, annot=True, fmt='0.2f')\n",
    "\n",
    "print('Figure 8:Pairwise colleration plot')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 密度和酒精浓度\n",
    "\n",
    "密度和酒精浓度是相关的，物理上，但两者并不是线性关系。另外密度还与酒精中的其中物质含量有关，但是相关性很小。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure 9: Density vs Alcohol\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('ticks')\n",
    "sns.set_context('notebook',font_scale = 1.4)\n",
    "\n",
    "plt.figure(figsize = (6,4))\n",
    "sns.regplot(x = 'density',y = 'alcohol',data = df,scatter_kws = {'s':10},color = color[1])\n",
    "plt.xlabel('density',fontsize = 12)\n",
    "plt.ylabel('alcohol',fontsize = 12)\n",
    "\n",
    "plt.xlim(0.989,1.005)\n",
    "plt.ylim(7,16)\n",
    "\n",
    "print('Figure 9: Density vs Alcohol')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 酸性物质含量和PH\n",
    "\n",
    "因为PH和非挥发性酸之间存在着-0.68的相关性，因为非挥发性酸的总量特别高，所以total acid这个指标意义不大。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['fixed acidity',\n",
       " 'volatile acidity',\n",
       " 'citric acid',\n",
       " 'residual sugar',\n",
       " 'chlorides',\n",
       " 'free sulfur dioxide',\n",
       " 'total sulfur dioxide',\n",
       " 'density',\n",
       " 'pH',\n",
       " 'sulphates',\n",
       " 'alcohol',\n",
       " 'total acid']"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure 10:The correlation between different acid and PH\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "acidity_raleted = ['fixed acidity','volatile acidity','total sulfur dioxide','chlorides','total acid']\n",
    "\n",
    "plt.figure(figsize = (10,6))\n",
    "\n",
    "for i in range(5):\n",
    "    plt.subplot(2,3,i+1)\n",
    "    sns.regplot(x = 'pH',y = acidity_raleted[i],data = df,scatter_kws = {'s':10},color = color[1])\n",
    "    plt.xlabel('PH',fontsize = 12)\n",
    "    plt.ylabel(acidity_raleted[i],fontsize = 12)\n",
    "    \n",
    "plt.tight_layout()\n",
    "print('Figure 10:The correlation between different acid and PH')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 多变量分析\n",
    "\n",
    "与红酒品质相关性最高的三个特征分别是酒精浓度，挥发性酸含量，柠檬酸。下面研究三个特征对红酒的品质有何影响。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\taon1\\Anaconda3\\lib\\site-packages\\seaborn\\regression.py:546: UserWarning: The `size` paramter has been renamed to `height`; please update your code.\n",
      "  warnings.warn(msg, UserWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure 11-1:scatter plot between alcohol and volatile acidity and quality\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 424.065x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('ggplot')\n",
    "\n",
    "plt.figure(figsize = (6,4))\n",
    "sns.lmplot(x = 'alcohol',y = 'volatile acidity',hue = 'quality',data = df,fit_reg = False,scatter_kws = {'s':10},size = 5)\n",
    "print('Figure 11-1:scatter plot between alcohol and volatile acidity and quality')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure 11-2: Scatter Plots of Alcohol, Volatile Acid and Quality\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 583.2x432 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x = 'alcohol', y = 'volatile acidity', col='quality', hue = 'quality', \n",
    "           data = df,fit_reg = False, size = 3,  aspect = 0.9, col_wrap=3,\n",
    "           scatter_kws={'s':20})\n",
    "print(\"Figure 11-2: Scatter Plots of Alcohol, Volatile Acid and Quality\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### PH和非挥发性酸，柠檬酸\n",
    "\n",
    "PH和非挥发性酸，柠檬酸成负相关。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure 12: pH with Fixed Acidity and Citric Acid\n"
     ]
    },
    {
     "data": {
      "image/png": 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MPyNYgQyUg1KIQ3BzOLEwKhFF+EuR/mDu55EuBrucnN4uDKYXfC4A5Tj0bn0bOx4jtPBEjJJcDcDDQQhB+cpLKTv3Yve9x3uQPSYuhWiRTdRCS21gjmGK4c452lC2hdW+F5QDuKsQo7y+ICMj3ObrBZ/bat8LsW53HpF2VFkdRllt1hijZgqpQfsZNVMKPhe4xmXn/72D3q1bAIERCDL3/z6AWTb6RcvHsmHpwxACI8/fRb7jjja0i0xzTGP3drmxqLQLSsWjYI2RdlzauPShwq05Q2R5Lb7TL0ZU1CEq6vGd8TlkWc0hnS76/nZ6392CE4/jxGOkujtp+6+nD+lYmoMjRQFSMRPUwOgVjOaox3EcaN0JiV7wBaDuuLyyclQiiopm3+QRoFAcSX/uRsNMShpmHvZxnFQye6XlOKhE4rCPqxkaXWipVzCaicD+7RDtBDsJ0S7Yt/Wgu6hkDLV/OzIWzqxeADA8CHOM1Ik9/uz3o5wgMJjg8QvwVFUjPB6QEunzU3XuyqKe81jGlKKg10REr2A0Rz/JQbUnqfhBd1GRTlAOApDxMMr0IULVyIq6MZP1kbUzUeEWVCKGKCnNib+M+vk8XuZ8bx0d//0cdixG5Vkr8DVMLuo5j2WKGeRvaWnhnnvu4eWXXyaZTLJ06VJuvvlm5syZM+T4VCrFfffdx1NPPUVPTw+LFi3iu9/9LvPnFzfDTxsYzTGJMEyUEG72l3IQVgJREkSI4i3qnXiM/T/5Eb3b38ZbP5kpf3Uz3ppJRTvfUBglAWo/87kxPeexSrHqYJRSXHPNNYRCIR566CFKSkpYt24dq1at4rnnniMYzM1GvP3223n++ef5/ve/z9SpU1m3bh1XX301zz77bFGbNGoXmebop3pq9vuqxoPvU1oDnhIQ0o1LBCvAV9xi06ZfbCCyeRNOb4T4zg/Yc+9tRT2fZnwpVj+YtrY2Zs2axd13382iRYuYNWsW1113HW1tbezYsSNn/J49e3j88ce56667OOecczL7+nw+tmzZMpqXnINewWiOemR5PU5JOcR7wB9CeksOuo+QEqbMh2TMNTBD1L8oK4kT6UIGyhBe/zBHyp/Y+9vc2iMA5ZBsaUJZFsLUf4YTkWIF+Wtra1m7dm3mfVtbGw899BB1dXXMnTs3Z/xLL71EMBjk3HPPzWwrLS3lhRdeyPuch4r+ZWsmBNLrhwKNgBDCzTobArujmd5nH3brY5QicP7lmJNnHdYc/TNmk+psA8sCBJ6aWm1cJjCHYmCam5tzPisrKxvWjXXLLbfw5JNP4vV6Wb9+/ZDusV27dtHY2MiLL77I+vXraWpqYsGCBdxyyy3MmnV4v+mDoV1kGs0QxP73SUjGIZUEK0Xs948f9jEnrbqO4NyFCK8P7+RGpv6/d4zCTDVHKodSB3PFFVdw/vnnZ70eeeSRYc9x1VVX8fjjj3PhhRfyjW98g3feeSdnTCQSYd++ffzoRz/ixhtvZP369Xg8Hi6//HLa2tqKdv2gVzDHPCreiwofANOLqGzIBLmdzmaccBuytApZdexlGql4JPv9KLQzMAIhpt1852EfR3N0cCgrmI0bN9LQ0JD12UhB+L6ssbvvvpvNmzfzi1/8gnvuuSdrjMfjIRKJcO+993L88ccD8MMf/pAVK1bwxBNP8PWvfz3vayoUbWCOYVQ0jP3+K24NiBDQsQ9j1hLsvdux338NlMIWEmPWYszpi8Z7umOKZ9ZJJLe9AlYKDBNzaq5vW6MZbRoaGmhsHDlJpbW1lVdeeYULL7wwEzeUUjJ79mxaWlqGPKYQIiuF2e/3M3XqVPbu3Tu6FzAI7SI7hnFad6ZlUhz3v5FOSPRif/TWgO2W2/nyGMN36p/jO+V8zMa5eBctp+TPvjjeU9IcZRRLTbmpqYnVq1fz+uuvZ7alUim2bt06ZExlyZIlKKWy3GfxeJw9e/Ywbdq0w7vIg6BXMMcyQ9V8DCXcOEF1koZCKYXqaoZoJ57aSXjnneb2fRmE1fQh9gebAAX+cnxLPz32k9Uc0RSr0PKEE05g2bJl3HrrraxZs4aysjI2bNhAV1cXq1atwrZtOjo6KC0txe/3s2TJEs4880y+/e1vs2bNGiorK7nvvvsQQvD5z3/+UC8vL/QK5hhG1h8H0nSbj0kDUV4H3gDGnKXuNsP9zJizdLynOmaoziboaoJEFCIdqKb3csbY0R7sDzeBSKc7J8Ik33xuHGarOZLpK7TM61XAM5yUkvvvv59TTz2Vm266iUsvvZTu7m42btzI1KlTaWpqYvny5TzzzDOZfR544AFOP/10brjhBr7whS8QDof5+c9/TnV1cZvB6RXMsYwvgJx/Fk64DUwvBCtRSmFOmoUMVaJ62hGhKmTZ8D9CldbxOlgvFGXbCGNs+84oxxl2XiqtPZYjCxPtzEj3g4JkDOXYWT1znOYPs/YVQrjSM+OIY1lInfJ8RCELkOsvVE25vLycO+8cOmGksbGR997LfjAKBoPcdttt3Hbb2Bb36l/kMYhSCru3CzveC7vexulqIbV3Z0bw0bfsM/gWnA4DujUORXL7KyTf/B0ohTnnFHxLPp1zw7Z7e9j3wN0kdn2AESpj8nW34J9Z3IC509lMctOzkIojKurxLr0A4fEN+LwJ1e0GQ0V5A7JyQNaO6XOLL/sQMseVKMpqYX//H7BSyl3xjQNObzfJl34FtgWAuWgF5rQF4zIXTTZS5C/DP1Hl+rWL7BjESURxkjFo/Rh6u0g17cnqLZ945Rmc5Mgy7nZnM8m3ns8kA1gfbcbanati3PqvD5HYs8vdJxJm3wN3Z1YPxUAph+RrT2cEL1X3AVLvvtT/eazHTcvuex9uRcV6Mu9FzTTXyLj+L0T97ByjadZMAV+pG69Jr+DMk8dHlTj5yn9kjAuA9c7v3fYFmnHHEIW9JiJ6BXMMouy0XEk84rqDBtyg+nB6OpDVwwsxqp4Ot++6nd5gpVDh9pxxyf27s47vxOOoRBzhP7icyyFhpbKvRzmoSEf/21Qiy5iCQlkJBKVu62Q7BQ1zXHeeNIYVv/Qt/Qx2vBcVjyBKazDG2P2XYYj6HKdtH7Ju6hCDNWOJLEBjbKK2TNYrmGMQ6fEDAkqr3T70gyVWhEBWjiwdL6smgzPgRm14MOpyUx4DC0/ub58rJZ6aOoTv8HW9hsX0IkpC0NcyTJrImv6brfAFGNxNTPiCKCuFdWA3dlcLdsd+7N7wQZWVDX8Qs6J+/IwLZLkx+1ZU8Rd+QWpncUUMNQenLwaTz0u7yDQTBun1YwTKoKYRqqdiTpoGPr+bjuz1E/j0VUg58uJWhiooOfcyZGUDoqwG37ILMOpn5Iyrufhyys7+BGZtPYF5J9L4zduL2m9FCIF32cWImkYIlGFMW4A597T+z30BZO0Mt9mXx4+snYHwlmBH2jO6Y6BQ0S7UECu7Iw3vsouhrDrtqnOww11gWyRefebgO2uKSl8MJt/XRES7yMYApRR/2NXBh229HFcd4KyZ1WPW1Go4DH8Qwx+EygZYuJxDcVgZ9TMIfObaEccIw6Tu0q/BpV8b8nPlOG7A3UoggpWIQPkhzCR9LKWw4xGwLMyTzkN6S4b8nkWgHGPweRwFdgqUjRt/MbFbdyFqZ2C37AQrifD6MOrddsxOPIq19X9RqTjmpFkQLEeGqt0V0khzjHSiYt3gKUGVVmFt+T0q0o5R3Ygx74y8Wj0PRJoe/Mv/gt4n12W3f3bs4XfSjAkG+cdWxnENXFS0gRkDnny7iRfeP0DSVry6u5P94QR/cfKU8Z7WuKOUQjXtgEQvoNxYSd1MRLDykI5nRzpxEunulokoKmBjBkrznIwDyka4MwEnidr3EU4sgiqtQpQEcWwLtXc75pQ5JH6/EawknjlLUFYS0dOOE+lETpqDGKZdgNPdAh373HMJSeqN5zIxFLu3G6e3G9/SzxzStXsWnE7yzRdcI2l48MxefEjH0YweooAYjJigMRhtYMaA//2onaTtxiuStuKlj9q1gQE3GJ90jQvgBuS7Ww7JwCil+o2LuwUnHoF8DUy8JxOaEX0z8nihrDpTAyMME+UrQXU0QzKBCJaBYfTX2igHJ9KJUTXMejDc2l9jo5ycAL1q35ffXIfAe/wyZLAS+8BuZEU95oxjSzvuSESnKWsDMyb4TUlv0h7wfmIsiFPxKE7STQcWhgdvMM+beR9SZmxL/7aD/ySVUtjhNlSiFyFNjIo6hOl1Y0gDM8QK+aOVEuxBbiXbcl1NA2tcbDvd+VJBPIr1wVvIyjpk7VSEkFkFmbnnMIEEykqR+ugdnHAHGCaiJISQEgXEX/wlKhHFmDIXz8LlBbVwNhvnYjYemaKcynHofek3JHa8iQyWUfqJyzDHuF30WFNI+vFETVPWQf4x4Mql0/AakhKPxGtIrjzt6E8hdaxkxriAm/psJQqTtBfSgKopaf0zA6SJqD54u2Mn0uHWrjg2ykpgdexHKYURrMSNnwhAYIbyXwnJqv4VpVJuBT/KgVgPyrZQVgplWxhePzJYjjA9gBu3cdqbcLpaweNFlNUMf70100BIkh+9gxNud42hlUJFe9xz2ilUuA0SUeyP38H64M2853+kE3vjReLv/BEV7cE+sI/uf/txf3fPCYoQ+Qf6J+gCRq9gxoJ59aX8/QXzae5JUB/yUV7iOaTjKKVwlEIcAVkntjVE7YyV4kBK4jEEFSXevI4jKxpQwQq3fsUXGHkF0HeeZIyspY/jqkEb/oDrZuvpgPIahDRQ6e/roPPwBaFhLsTDKCERto1oXIDwBbGj3ahIFyJUgVFShtN9wNVpG9D+GMtGTj5+xBWH8AVh2omoN1/MXmkpheeUT5HaNCDzy7Zw2vbAnFMPOvejgdTe9/u/L0DZFk5PF8ZB0uGPZorVMvloQhuYMaLM76HMf2iGBcBxFN3ROE76xhT0efB7D/14h4s0DAbXi+9oj7GlPQxAZYmHT8+rz+tYIp0ynP/JXVdTP65Ui7VnG/aHb2S22jNPQlQ04CmtzMtwSdMDoWzdNZWMobpbAYXqakGZXkRJabaBkAaialJe7ixhmMjyWpy2fe68hUCU12JUTybreV4ayIr8vr+jAbNuKql9O90kBEAgkKHhG2lNBCQFxGAGF2dNELSL7CghmkxmjAtAbyKV9X6sMTy+tJvIJZJSbGnvv0V2xlJ82NZbnJNbyez3QqKUnWVcAPj4HVfGJtrDoWJ37u+vj1EOdmcTwuvHc8qnwOsHKZENx2HOPCnvY3rP+Byios6VoimrwXfW5xGmB+/pnwVfwD1m/UzMuRNHxTpw2kq8M+a7xjhQStlnr8rSh9NMTPQK5ijBdnKNierrRDmKOI6D4zgIIQ5aoe4dkKH1P+/ldtLrSRSpULFPwdlOoIQBpg8rOoQx66sFUYehzTW4nsRKoVJxjNqpGH8+dG0PgBPvha797mqrZiqqu4PUvg+RwXI8M+ZT8sm/dMd1taDCrTiOjVE9hZJPXn3ocx2Ete8DnO52jPppGCPI/owFwjQpu+DKcZ3DWCMLCPJPUA+ZNjBHCz7TwLL7b5TFqP61bZtUsn914JgmHk9+brjZtSEOfJwtWT9zuHTdw0UIZG+b+08EyluC8gXB9GT5+SlxXTCiEPfb4FP5Qqh4hP6Yj3JTgasmI/2hIfdxYj2w793MexVuJfz7Z9wMNCHxzj6R4LlfxNqzFWfvtvSxBcbspRi1o9NhML7pv0hu+1PalScoOfcv8Ew9flSOrckPnaasXWRHDX6vh6DPg2lIfB6D8oB/1NUArFR2Vo9tWXkrH8+sCnLK5DJ8hqDEIznnuGrK8wz0F4qRiODmiYFAIZJRd6Ux70zXqEgTymph/pkYJSEM36EbOlk5CYIVg7YqnAGKzDm0fTxouIOnbrKb9mwlSe54Eycexdmz1Z13OknB3v32Ic8z+3QOyXde7hf+tFMkXv/dqBxbkz/Fapl8NKFXMEcRfu/4BvYPxrz6MubVj0HgdhjDKkwvHL8MAG9F3SidSmCU1WL3Dm4oVugNYZChFqTrdvI/pop2oTr3u7Gb6mkHlaXRjC9S5O/6mqD2Ra9gNP2Yg9xhhmmOu2baUIiqxv5GYEKiAhVZxZDCHN2VkxACEarO1OGUWIoAACAASURBVNcgBLJshPTa2umDDiBJNe9zXXimF++8JUhfADltYaZdNdLAnHHisIdU8YgrqxMLQ7QLte9d1OBkh8zpJN6T/sw9n+G+/EvGp1/NsYxWU9YrGM0ADMNA+Hw4juP6j4cJ8udbW1IsREkpTD3RvdmaXoxAOSIZx7GSSNN7WC6x4TDKanB8gbToZcmIGVDSX4oz9UToanKlZKoaKaudhbXvI2SoAnPqHADMKfNwSmtQ0W5EaTUyxxXXj+rtHJSsoNx+PqGhu476F5+HOWkmTrjDTUioHJ0VnSZ/dAxmBAOzYsWKgm4iL774Yl7jHMfhgQce4Ne//jXhcJhTTz2V2267jenTpw85PpVKcd999/HUU0/R09PDokWL+O53v8v8+fPznpsmf6SUwyr6qmg3qvl9cCxUoALRMHfYnvfFRnj9bpowbhMx0bIDIxkDjx81ed5hBfaHQ/oCbhpxvmPrZ/VvKK/BKM+t8pdlNTBC9X8fwuNDCTlAyww4yErNbJgJDTPzmq9m9DEEGHn+eRxzUjFnnHFG5nX66afT3t5OLBZj2bJlXHTRRSxfvhylFN3d3XzqU5/K+4QPPvggjz76KHfddRePPfYYhmFw1VVXkUgM3aL39ttv59e//jV33nknTzzxBFVVVVx99dWEw+HCr1ZzyCjHRjW9B0469TjWjercO76TSqOa3+8XjkzFXVfSRKO0Np0Vl3bTlTcghsli0xwZ9Clu5CcVMzEtzLArmO9///uZf99///3MmzePn/70p4RC/T/qRCLBNddcQzweH+oQOSSTSR5++GFWr17NihUrAFi7di3Lly/n2Wef5XOf+1zW+D179vD444/z4IMPcs455wBw9913c/HFF7NlyxaWL1+e94UeC6RsB9tx8BjGsFkpSikSluP2FjPkQX/YsaRFwrIpwSIrQqNUWmZ/dBnY517Ig88PgNQgDbRUHKfH1SuT5XWIQ3SZqWQcFQsj/EFX5uUwUFYSFel03WuBwhMhhBCIyfPcuIuQCEN7t490XLHLPKViJqZ9yS8G88tf/pI1a9ZkGRcAn8/HV7/6Vb7zne9w++23H/Q427ZtIxqNcvrpp2e2hUIhFixYwKZNm3IMzEsvvUQwGOTcc8/NbCstLeWFF17IZ9rHFJF4ks5oMqM1X19WgneQarOjFC3hWKaexmca1JYOn+7c1hOlJ+EWGnYClZ4KSpMdGTl74StQPfkgKKVIpVI4aVVjIQRen+/gRsZfCtHuvllhdbZhvf2HdBKAwL/iy8jywjSvnHAb9nt/zCg0y+MWY+QhxDnkdUXDpLY8n37jIKcuwGw8NBfvaCcwaIqHjsHkmUVm2zbRaHTIzzo7O/PuwtfS4lZ719dnayzV1dXR1NSUM37Xrl00Njby4osv8sUvfpGzzjqLa665hg8//HDI44fDYfbu3Zv1am5uzmtuRzNKKTqiSRTpInegozfX5RhNWFi2444DEpZNPDV858M+49JHZ0m9m7WFAMPjNuYa5etwBkjmK6WwhhDVHIyonw3BSjC9qJJSrN3bMzUnpBIkt/x3wXOxd252a1TSkv3OzrcKPkYf1q4trgaXnXKPtfvdCa8krHE7QBh5vsYplFl08lrBnHHGGaxbt47jjz+eefPmZba/8cYbrFu3jvPOOy+vk8VirivD681+CvN6vSSTuSmXkUiEffv28aMf/Yibb76ZiooKNmzYwOWXX87TTz9NTU12cPSRRx7hgQceyGsuE52hdMoclWsShtMzc5yh5FUEyhdEWSnspp3QtAcx34usLFyUUSmFatuNikcQZTXI8vqhizrT25xoN05PGwiJrJqCHPAkLwwTMcntg6JSSQbXnKjk0PG9EXEsCFUivH73mJHBdTAudjRC+OX/QiXihE5djnfSEK0Y7CHSiR0bOHJrmjSHj17B5GlgvvOd73DFFVdwySWXMHnyZKqqqmhra6O5uZn58+dzyy235HUyv9/N7Ekmk1lGJplMEgjkZud4PB4ikQj33nsvxx/vylz88Ic/ZMWKFTzxxBN8/etfzxp/5ZVXcskll2Rta25u5oorrshrfkcrQggCXoNouqmZAEqHUG4OeE26Y8nM7VcI8HuG/glIKTGlwBqggeZXCZTjkNr8P5Bw+6XE93+A/7yvIKsaCpqzs/MtVFezK6/ftgfVuABZk3tzNkzTNS4d/QkFTvP7MPl45BDNyYTHC94SGNDdUlQVrsMlKyehlO2650wvlOS6A51kgv1r/w4r3Am2TfgPzzP5xtvxNmS70ozJx2NFOl2jIgy3Z4wWepzw9NXS5jt2IpKXgamvr+fpp5/mySef5LXXXqOrq4vp06dz1llncdFFF2Ga+QUcJ01y/9BbW1uz4jmtra3Mnj07Z3xDQwNCCObMmZPZ5vf7mTp1Knv35mYwlZWVUVY2sSXAh6M66MdnWqRsmxKPSYk39/+JaUgaygNEEqmMERpJomJKRYD23gQJyybgMakMBrF2t0Aq2Z8ua6dI7dyMrwADo5TjVqT34dio1p2I2mn4/H7XLaYUhmkipcTqacs9RqTTlYMZvD2VdI3fwG0due7Xg+NkYj/DxYASu97HjkYynTBVMkHk9ZepuuBLWeNk9RTM+ctxOvaDL4gxadaEzRrS9CMRecvwT1S5/rxTUXw+H1/+8pf58pe/fMgnmzdvHqFQiFdffZXjjjsOcN1gW7du5fLLL88Zv2TJEpRSvPPOO5x4olvlHI/H2bNnD5/85CcPeR4TESFEetUystvFY0gqA/k9PUspqS3NzsAyyutIDXRBSXkIsuvCDcAPLBxMZ0UJIbIENq2U25agT3usD0dBKhZ1x5smqnMfJKKoIVonC687PycRxQ63gVLYvhDKF8LjMTGHLCh1UxmU40BvN9gp7J1vIactQhgmTk8H9s43s8U1DRPh7/++lFKojr3QcwAMD8aUuYeUjWY1fYj93isAmPNOx2g4ruBjaMYeIQpYwRRoX1paWrjnnnt4+eWXSSaTLF26lJtvvjnrYXw4fvOb37B69Wqee+65YesPR4thDcy6dev40pe+RENDA+vWrRvxIEIIbrzxxoOezOv18pWvfIW1a9dSU1NDY2Mj//AP/0B9fT0rV67Etm06OjooLS3F7/ezZMkSzjzzTL797W+zZs0aKisrue+++xBC8PnPf77wq9UcNqK8FmPqAuw929xmWV4/nuNPK+wYQiCmLUTtfteNbiqFMXVRzjjHtrFSSQjUYIT3pXPEQEkD2/BDOqU5GY9hRsOu8KWdwpixCHv31kwWmffEc924UWczffEZGevGliZJ5UP6RE6iiqiajOrYB72dGSOiultwPnaQ004gtfl3mF6Br66WROsBkAZGeSXlZ/555hgq3OpW8ysHrCRq31aYcUpezc8y30H3AazNL2Tqj1JvPY84s8wt0NQc0YgCtMgKMTBKKa655hpCoRAPPfQQJSUlrFu3jlWrVvHcc88RDA7/ELNv3z7uuOOO/E92mAxrYNavX8/ZZ59NQ0MD69evH/Eg+RoYgBtvvBHbtrn11luJxWKceuqp/OQnP8Hr9bJ3717OP/98vve972UMyAMPPMC9997LDTfcQCwWY/Hixfz85z+nurr6IGfSDMayHVBgmoeesiKEwHvaZ1BzTkWlEsjqyVmNxyDdp0Y5rgESMlPXQrqgTCmFrGpEBasgFUOUlA25CnL6erFIgV02GZGKYXh9ONKfvZwRwjVU6fFmTQPmrFOgtxtRNQnpD+DEI5kU7vQsEVYCZfqwHSfHwMiyWhxfENX1vwMvDBXpRMV60s0oBZWnnESqOwyhaoIrLkF6BiSwRLuzV2lKQSoOBaxinK6WgZMGFE5nizYwxzBtbW3MmjWLG2+8kZkzXaWG6667josvvpgdO3awePHiIfdzHIebb76ZhQsX8qc//WlM5jqsgdm+ffuQ/z5cDMNg9erVrF69OuezxsZG3nvvvaxtwWCQ2267jdtuu23U5nCs4TgO7ZE4dtptJAXUhEryTi8fjBACMUzMRSmFFelE2e4Tt/AFXUORPrfh9WFnsroEnmAVYhjNMyEERncTIukWdDr+ckR5HSKZwLHt/v2Uym4MZtuw15W+Vz3NqOOWIAxPjnKxMlzDKIdpdSx9ARxvSXYWmKfEVTFOGw4hBN6qKozpC7ONC7iyMtHO7PbKZmHuRBGqzH68FQIZqizoGJrxoVgustraWtauXZt539bWxkMPPURdXR1z584ddr8NGzaQSqW4/vrrx8zA5H2HaW1t5emnn86837VrFw8++CDt7e1FmZhm9IimrIxxATd+EUkUpw7DjvdmjAuAk0pk3WDtrJRhhZUYur4KQMQjiFQ0E3+RiTDSiuNs/V/obHKTBRJRnDeeQ/TduA0vRLvSbY4dt6p//3sIjw9ZWo3bQQYcbwBl+jFNA2MEwag+NQGRvlsI6boFzYVnu2rFCGT1FIypC3L3rZwMgbQxkAaiYU7BFfhG9RSMWae4KzRpYMw6FVk9uaBjaMaHviB/vi9ws14H1/KNJIt1yy23cNZZZ/Gf//mffO973xvWPbZlyxYefvhhfvCDHxy0U+1oktevffv27Vx55ZWEQiEuuOACAA4cOMBDDz3EY489xs9//nNmzJhRzHlqDgPbzq1pGaoFM4BjpVBWAmF4kMME75VSOI6DUspVYB74+DW4fmaERzMRj7ixCUMOHfy2UwjHcQsUEQjTi7JSqJ521MfvuMfwBzCC5YhQJaKsDhwLp2tQ1lhaSsYIliMHybQIIVz5lWiX26gsWJl9PXa/IRYD3hvVUzCW/wWOYyN62lDdzVBak1VpL4RETJp72OrTntmnui4/hs9o0xx5HMoKZqiSiuuvv54bbrhhyP2uuuoqrrjiCn75y1/yjW98g40bN7JoUXY8MxqNZrxGM2bMyBS8jwV5GZgf/OAHzJw5kw0bNmS2LV26lBdffJGvf/3r/OAHP+DBBx8s2iQ1h4ffNIgl06uKdIaV38z95TvJGFa4I/NeBkoxB92QlVIkk0k3uwo3y8vr82XcbdLrw0kN0KZTjhtsH4TobkZG3K6QTvd+5JT5iMHS894SSET6V0BWArwlmFPnk+o+gAyU4pkxDxDQ9jHKSiGqpoA/CPFe3ECJRJT3F4IOvkGrVBy15+3+c/hLYfK8/nGlNdDT1n8dpf2xD6Uc1M43UYkIKFDyA+Ts03KUnEfDKGjDcvRxKA3HNm7cSENDtvt5pNKLvqyxu+++m82bN/OLX/yCe+65J2vMXXfdxYwZMw4rA/hQycvAbNmyhXvvvZeKiux+FWVlZVx99dV85zvfKcrkNKODx44RSnTT6y0HBYFUDz5PEHzZKxSrt0/Py8WJhlElpVk3N6VUxrj0YVsWMl04Kz0+jEAZTjIGQmL6gjiOhWNZCCkxvH7sZBzR0zogTq9wDuzCGGxg4j051yISEcxZi91M52SkPyNLOdC5D6qmIGeegtP0ASSjiLJaRPUQ1fV9Z+5qyo7fxHsgGc0E4mXjApyWjyDWjQhWIuoGyN9Hu10D2Le/baM69iPqdRqxxqXQx4KGhgYaG0fWvGttbeWVV17hwgsvzPxtSimZPXv2kKuTJ554Aq/Xmwn+2+m6rYsvvpjPfvazrFmzpsBZ5k9eBkZKSXd395CfxePxzIQ1Ry5+J4Y/1hfvEMAIfU2UQiR6EXYSJQRUTUIMEwgfCsPrx/D2P8VLTBgQ/xa+EoYSohmKlCdILFgHShHobcGbzt7yzDoF5+PNWUrKSjmoj99CTDsBoyAxyUG+jIHeQyGxqmdgOw6GlHisFPbebe4KqbTSddnFe11BTK9/0M5981Ko7hZU+AB4/cjaGW7SQd/nVgpr51uoaBhZMxVj8hyEEFgdLUT/9P+hrCSBU87F0zgr59iaI5diScU0NTWxevVqJk2axJIlSwC3b9bWrVszKvUDee6557Leb968mZtvvpn169ePmBQwGuRlYJYtW8aPf/xjli1bliVUeeDAATZs2MCyZcuKNkHN4SN8ITe+0Bd8lwaiJHfZbQbKsXo6kPFuRCrmPn2Fm1F2AlHnPpX3BbwH6oYZeSo5ZOYjBFQ1woBqfjm4zTCQKqkgLEIgDFCKbl8ZlX5fppRUVE9FtXyAUk46k8yBeAT10RswO8/aHF8IZBsgMqnUyuPLPHnGkyms9AOUbduID/6ASLgGhUiHG79Jr2AcK4Vh5rYGUF3NqNaP3FVWVODEepAzFmeePlObn3eVCZSD3X0AHBtZ3Uj3r+5L66gpuvd+QMUXr8esOzRFZ83YU6wsshNOOIFly5Zx6623smbNGsrKytiwYQNdXV2sWrUqp55wcDFlnwDw5MmTi17ukdedYfXq1Vx66aV84hOf4KSTTqK6upqOjg62bNmC3+/nvvvuK+okNYeHkBKjdgYq3uOuTkpKhyz2k74STKMW1dPSv7RXCnq7+o+VltB3bBsFuUH+PDHqZqICFai+OpghmmelLEUm0VEIQJKybPqygUWoCjwLUbvewg2CDIjV5Eu8l4wjQ7gKAyIVB8OdjzVwdW4lXI2zvvM4djq+NEABOnwABmV5qe6WAfUwynXB2SlX/dlKoiIdWcd0WnZiJ1JpI953TRbJXdu0gTmKkOSfpltIwYCUkvvvv597772Xm266iZ6eHpYsWcLGjRszMlqD6wnHi7wMzLRp0/jtb3/Lz372M15//XW2bdtGaWkpX/7yl1m1alVOUEozfli2TW88iVIK05AE/W4/FSElIlB+0P2l6cUxvW5BYB+DUmuFEDmrFqUUndEE4VgKBFQHfZT6R+5dIkKVCLJrOqxUErtPS0xJsrzYVoroC79C1NXhmzoTUXscIlCGEhKnvN6tMbGSyO6Dt2hQSuHs34E6sMu9h/uDSF/axWV4cKI9hH/zMOLks5FvPOsaE2niTDkOwzcwiD9QNsdARbtJ/vEJEAJjxokYDbNdQ+JeMQTKwfBgt+/FqJoChictm9NvpIQvgAiWDaqfMZGB0e2/oykugvw7VYoCozXl5eXceeedQ342VD3hQJYtWzbi56NJ3r6N2tpabr755mLORXOYKKWIxPqf3i3bIZ5MUeIrrEmVqJvpth1WrjhLn3tsJKJJi3AsrVKmoD2SwGcaOU3PRpy/4/QbF8BUNqaQWI5wVwAfbUbt3UHv/g8xKyoxnA9g2ok4NdMz7i1Mr/v+YOfqakG17e6/iccjKNODqJmG8PgIP/0I1oG9+Db91v1OAOVYWPt3Yhy30D2Xx4corUG1fJSWpg66K5i0y8zeuRkRqkalEu62QGXaoAhX26xjL2b9LMz5Z2Jt+4M7D48Pc85ShD+If+Ey4m//AYTAM3kmvvlL8/4uNeNPsaRijibyNjCxWIxt27a5KarpP0qlFNFolNdff51vf/vbRZvksYZSilS6dsWTR1vjgfsNxhqiBmYkHEeRkn6MxhMwlAWGFzGg4t+JdEEyhiiryZKISVh2/7O84xBUUeyoDWXZmYdZ50r0QjIOJSGk6euXhkkjpCAoDeKv/zfJba+5dTO4Lj+ntwcjWOY2FRtU6T5w1eNEOtxzlNVk9ZBRsR4cK4HT1QGGRJbXYlZPRVa6it9W2343pjOghqWvDsY85dNu/Y4AoRxU4zyEUthte3A+fnvgFaCiYVQ0DJEuCFUPqrGx3Fqi2mnuedMyMn3fd2jF5wgsPR9lW8hQhU5VPsooptjl0UJeBuaPf/wjN91007AVpaFQSBuYUUIpRVskTspKGxhTUhMavq3xQNwA/CDPyghV6oNJWjZtPa5rTAGVAS8BT//+qfc3YX/4RrpVnwffmV9AlLixCr/HJBxLYTgWDVaru0MkjBXvxByY2pvG6tjnFjcCdAOVU5CDEw+UAieFUVGFGBBXUcrBKC3vX0UYXtSAz/sMn717M0TTv9nWD3Gmn4xM93VRppfke2/2f1ktezDmnZU5hmfSTJI7t7r6YwyoQ/GWIEwPTncLhFvc7p7SgCkLkKXVOAM00UC5si6JXpxoN8SjqKDZn5FnevuNl+lJKwNko91iRy/FisEcTeR1XevWraOiooJ169bxiU98gpUrV7JhwwYuu+wyhBD80z/9U7HnecwQS9mkrP62xinLGbGt8UCEEIRK/BhSIgR4TRO/N/+uiV19bZcHvu9brSai2B++7t48rRQkYqTefzWzb8BrUhn0UWW5nR8z6wgr6QpNDsBxnH7j0retaz9CSjz+oHsDFsKVVXEcPNPn4T3pbEQghCytoPT085Gl1YhJcxHSwAxVumKZQiJMH2aoEife229c0qh9/Zp6qe2vZltiK4X98buZt6FPfAnvzPkko1b/46XHh/fU812XV7jF3V+5SgOqqwlZXotx3GLwBsAXxJx7OiJQhpwyD1EzDSKdiGTCjbl4SzCqdcB+ItOXcZnvayKS1wrmvffe44477mDlypVEo1EeffRRVqxYwYoVK4jH4/z4xz/mn//5n4s912MCVUBb46EwpKQ04D/4wCHInEcpfE4cj53AidnIklK3h7yQgIMyTBL1cyFUi7AdTKGw470EAQwGJlWhADuVRPgUScsmadkYUuCqeKWv1xfCESbxSARlePD7A3gNAysRx7ZcoUnfCWfgO+EMzJIgxgAJGxUL48QiGB4foqI+84eqhmhT7AiJHY2kz5lbB6TivZl/S6+f0MrLsDqbEI4FVsI1mNJA9Xa4IZ+B+8YiJN99GZSDueBsZLA/oUJIiTnzZMhdyI2IE+3B+uh116AbHoQ3gDl9wZAZd5ojj0Op5J9o5GVgHMehrq4OgJkzZ7Jjx47MZ5/85Cf57ne/W5zZHYP4PUa2qrxwt40FIZ/r5iqxeghZPQgUqrsXx0ogS2sQwUqc3i56Tvw0ji8E0iAeiVHmRDD7sqCkRKb/2XcNKeknFU8QSfZbHp+vmkC8DTtUB54SlBAYQG8qRW/Soirox+PxYA/MOBYCOaBA0elpdxt6KYUSApXoxaiZ5n5YUs7ApmaONHHqZmXcV8aCs3A6mqCjrxZH4JlzaubYVjzqrry8AXcVJ01EKgpC4kQ6Mv+PBKBsi8SW/3JjPSisHa/h/9Q1h+XechJRrDefdb/HtOG3ezqxdr6F/9yvuIrOmiOawU3yDjZ2IpKXi2zatGmZtLYZM2YQi8XYuXMnAJZl0dvbO9LumgIwpKSurISgzyToM6krLcE4RFn9Qgn5vVQGfQTtSFpzGPfm3dvl1r+cfjFq7hk4/lI3dTm9WkgM7KJp+CBQiZIeHMNHqmwKSLcnzMA/ooS3FPwhV29sgGKxL/0oF02mENLAEyxHenxIrw9vsDwr4UB1t/a7ufoKH/taEkiJmLXUNTTeEqiblZMM4Fl2kSv/Xz2Zks9cm7XqcAaqPAvhyvSX1WfELpXHh5ImyuPDER53e1/Bp21h7z28FhdO0wcDTp+O0/iD7rGbdx7WsTVjQ18WWT6vCeohy28Fc9FFF7F27Vocx+FrX/saJ598MmvWrOHyyy9nw4YNzJ49u9jzPKYwDUlFnm2NRwOlHFLvvIS9b4cbM5gzqGHRgEC0Z9o8RCROX+zfdhzUH39DrPlDt/Zj7mLMUz6J7XMD9sP93QjAqGrEjvfX2yjVv+rJaCwZBrJkmAZdgwyvQmC374FUHOELIisnIae7rbZVIg6p7AJMURIieOH/M/R3Yls4W19CdTQjSquQC5cjy2uw0zU2Shqo9CqO1KCWFUIgDI+bDfjeq9i73kb4A3hPWZl/ozBziNTydNr44LokjeZIJa9H46uvvprLL7+cd95xJdL/7u/+jm3btnHDDTewe/du/uZv/qaok9QUl9S2P2F9+AaqtwvnwB6sD9/C1edyCx3lADViKQQ+wy0Lk0Jg7t2O0fS++/Tu2NjbN5HYvd2N56RbGoO7ouhzKQGESrxIw0TaCVCOqyOGImG7T3Qh38GTE2RVozvHdFIA3hJXrNJOoaLdOJ39sv05zcAA05cr69KH/e5LqKaPINaDOrAH+83fIaSBKK113XHetIQNAhWqRpTVuFlgphcRqsSYvhBr19tY2//kfq/t+4m/+K+utEweyMlzMkYmk2gR60WUVmFM0ppkRwNumnK+Qf7xnm1xyFvscqARWbhwIb/73e/46KOPOO644wiFjo2go+0obKXwyImV9WE37+zXKUPhHNiLXLwSDANherN6nPTd7IRjgW0h9g1REbxnO0ydlxG09BsGpiHwmAYpR2FKiSddgOktq8ZORFGWRUKYeDwGIZ+R5RZ0UnE3Q0yaaSOVbr/sDyImz4NkFMfwoFo+cHXWhBshUQOy16SUeAKlOFbKFab0eDMtBpRS6boWA4GDEgZ0NvenGysHut3Ua6O8DuENYA2Qz0E5yMWfwHQst26mqgGESH+vqaxxKtKFqKg76P8TKQ3MpZ9FNX/oysl4ApgeE1k1eUiZH82Rhw7yF1BoOZhQKMSJJ544mnM5otnbHeO9A27fjzK/ySlTKjAmyK/Cdf209t9QpYEoCQ2tVyYEvL8JseUFd4NviIeLiv4VD3YK0dOEbVsoIFFSQ8z0Uxrw4Ul31jN8ATa3d7E/XWdlCMGKWTWuG+7jzWAn3PRpw4sdqEQoBxCI0mpsBMR64cPXEHY6061+BsLrh0EN06SUSG/2NuXYWO/+D6qnHZSDCJQj/CV4ps8FK4W1fycq2gMl/QF74SuB3k5A4DR9CPvdpBe7uhFZVY/at9UdJ3BFRh2r72SIkvwD/1JKmDwn7/GaIwsd5J+49T2jSsKy2XEgkokRhOMWuzqGb/V7tOE98RxkZVpPzuPHd+Ylwz8l93Yh334R4Thut8lEJCtCKUqrkJV1mfoQb/OO9FO8QqAIxtrSkjb9rqJwPMX+cH98xFaKN/Z1Qftu+tLI3Cr6pHs+ABROTxvYtmuErGS6MNNGHdgDps/V+joI9r73MsYFQEW7wbERXr9bYzN5JviCGIs/MWCnFBzYjertgXBHyAAAIABJREFUhv3vp4NHCqdjn2tw0u+l14OsnuTO3vTgXXqBa5w0xwQSkZHsP+hrgpoYHS3Mg4TlpMXo0r5wIJpn8eNooFIJVLgNTI/bQGuQey6aSJGwbFeEUkr8HgNDuJlYtuMWQfa5pFK2TU/cdROViqSrhuwL4v2zL2HbNlLKrJ7d0WSKlOXgk65r0Il0uYHttEtNOA6e45fgO+MCHMfBatqF09WC+q/fYddMh5mDe9UrzFTUlfxPSTC9hCO5xjqWtLBkFDfK0Y90siVpaPvYDeoP3NmxEaYPp/lDKK/HCLmCmnYqgb3jVZRtY85ajPQF0ploA+R0hHCPK410GpCBXPEld76JXpxUwo21ewPQsSd70o7j1gsh3My4QAVm9VSc2qko5WBHu3He34TwhxBCuT76YCWyogGV6MW2UijTD0JimGbGhXe04MTjdD3/79ixKL7J0zCCpZTMPyln1XjMUEh22MS0L9rA5EPQa2JI92EZXH9pXagwAclDRSWi2NteytwERWk1ctaSjJFpj8QIx62sfQTgM/vjRLGURWXAhxSC3ngCjxAgIGwbhLr3I/ylWCV9qsY2puHg9XrojMSwHQcvKcAhBW4gfeBfjWFiTJ0HSKxkAqqmIKomY007gbgyIRmmxHLTnpXjgGNRYrhtkK32MML0UJWIAWUDZg+VfgPLX4aRyK7Gd0xfWnjScVUCtr6MrKjJzEkJifD4Uc3pWq3OfdiTjoeyelL//S8ZN2Cq6QPM+mlDSvsrw0Ao5S5EfEFS3lK8vQdwws1YwVqUvwwa5kD1VFTzbsDVK1OAUVrZ//1Eu8DrQ5YEUB37cWI9OG376HtQkaWVGGWV2O17Uf4AVtkUsB0QDrZtY3o8mAX22hkvnGSc3WuuT/evgQggPF7Mimom37QmrVR9bCGUQuRZJJ3vuLHglVde4atf/So//elPOfPMM3M+/7d/+zf+9m//lueeey6n18xgCnpEikQiWf/ev3//CKMnDoYULJ1aSU3QS5nfZF5tiPrSsfmDcVrSgWLHdt0/Pe0Q628lPNi4gHv7SljZP9hwLEl3LIkhBIZ0X17DIGKEsM3sa7FsG9u2sR0HAXhxMv5k4fHhOfcyxOTZUD0FcdoF/P/svXm0ZVV97/uZc65m96er01QLVUUJ0igFSGNskphHvHlGlGE0I0QtL8JzCDgUi0RNJPGiUW9EYpAHIy+QGFPkOTRxRKM8MSaa3CggGkAvBJC+2nOqTrfb1cw53x9znd2cc6o4VVTR7u8Ye4yz917NXOusPX/z132/TGwijbOQV1Y5E2Vrl1ZQoemXSYSPadUxv7i3QyBpDTZuEAjLWYUagTAoLGMFny0jBaRUWOm36Wus9BHKcwSSs/vQ9//Q6adM74NcAVsYgJH1iDDsjBewk4+hH7m7RxpZ5ArYNHa0NF7gKsLyFcTgGAIwSHRllGj9KwFQzVkX5MsPuPJoqSAooNe/At2oo5sN59UsRsuFEEW+jJ3e0+mVsRYz7/p2bHMOI/0O03JmZNMkWXq85ynm/u07beOyAJvEpHPT1H9+93M0qucaGZXQSl7LKKG+GLCi5VGr1eIP/uAPeOCBB/j2t78NwD333MN73/teLrzwQj7xiU/g+yvnvHohIu8rTl/z9HoqzwRRqtlXjTDWMloKKQZeb/imjcN/GI21BBLAqVG2KVVsl1BXF9I0JacExli3qu4SORbFAdTr3r5oRMuMKTtHK6jQ8ssUd/3CVVplV5B6OWKZwzctBqnz+nIVggLN4lDnupW/pO/DPHIP5AqodVuwUZN0zxMkG87A5AcQWPKP39k7DmtcbuUgkJ7vpIw3nYGd2QWtGvHqUxH7n0L94sfY4iA2kEtlo4WAXInWrl0AFIpDyxy93dlz0PN336sXLMxBQsYLSqMvQQhrsoKUlW37YsSKPJjrrruOH/zgB2zbtq392emnn84111zDP//zP3PTTTcdq/G9ZJBqw8NTNWabCfOtlEcP1GkmGjm+McsHZKvmQgW6WIdLwdJkvAB8JXre5z2BEm66czbDkhpDqTWNV9/ftZKiHYLypMBXAkHnc2CJ0fM8hWrV3Wo8ewXCtlfqWItII+TcbsTmre3af8+meGha4SCRXwYEqjxCIfAxFtKwBEJm5QFkOREfuek01IaXIwdHkaNrSX/ptzC5AVwBs6C5dmvH6wF0dc4RWXZN4jZqOIaBbB8rFTZXRK46DoTEe/Ru1K77UXN7UXsewkxPOo8oqmY0/lnfz4M/BqVAKqLdTy0tX8+VXD9Qcx4xOJr1FrlrEaUBdy/CoitgMDoz9s4oeS+gRVvlNb++tAHU85CFEoVTz1x+pxc7Vuq9dP32ng386q/+Ktdeey2f+cxnOPvsszn77LPZvn07MzMzR/1cK/JgvvOd77B9+3be/vbOqrVUKvFbv/VbxHHMLbfcwhVXXHHUB/dSQj3uXQFaC9VWQr5cQp38OuzsPpfkH1rTM4mNVgqEzZgoSZFS4ElFzlf4SjDbiEm0xss273gtkBpDYX43vjCQNPGnn8SERVRlFUl3znuh72XhPSAweL7rSVFSIqUk3f0gdudDsPlMMCneg3ehT3w1trwKaTVebQpzwtmofCeMJABft4iCMkmuQnFwBOGHKKCQC6lHkvrwRgq6jsKVKUulMMJA7ITJhFRZYrwzQuuFmOII1KYxM5OYPRm1Sq4CpQFXoLD6BKwUiOa8m/RzZWjWEIPjyONeibj7tvaqXFgD1QPIk87FSyOscgZJzO3Df+XZxKvdIiDYfBrC87B7H8ZqneWrwMxOggqxxRKiMIjIl5EmBU8hisNO5KyV6dOIImSFFotVQ5/PUIUi6//wz5j+5t9hmg2CNevxBoYonn4u6mBMDC92HCQ6cNBtn0V85StfYd26dVxzzTVMT0/z+c9/nkcffZSvfe1r7W2MMaTp0hC8OQyPdEVP8OzsLKtXr172u3Xr1jE1NbXiE/bhdFf2zTfRxpL3FaOVPN6inhohaDcbirCAGD84FW8lH0C+t+ggSTUS54UsDr4IAeV8iEwKUHUVXFJHyEaMHJogtfrQD7wQeJ5HuucRkofudCv68gg05uCe2wGw0qOhCuSLA06TZmCV84PqU+0SZlHdjzKaYjhLNLKJdGYPRrjcBkKQ04nrIcmVaMUxXjSXNVpKFpPEgEAYTRjNIq1GBHmSh+/tSD8LiQmLyJNf796nCTSmsQNZebZO2joyIldC5IrYWlfXvfIxex+GJELkK6i1L0eMOmLN/GLW/Y2LqHbWn3Lwe7lwS/OVF3zPgFceYOx3lqfeeUliQc5hpds+i7DW8td//ddUKi4aMjIywhVXXMH3v/99ikW3ILj44ouf8XlWZGA2b97Mt7/9bV7/+tcv+e673/0uGzceJg/5SxjWWvbMNdvU+M1EM12LGCmFDOZ9ZhousVvwFcOFIwuRGGupt7oEurAYK5BZtZOSEk8pGBjHNKsZUaNFDE0gPJ9AKuIo2186jZXuaiuvOICpz6If+I9O7H1+P3JgFDM3hTWW1sSJJJVxikq5CrJsX1Eagdp+RNVJCwvAi6qo/Q9hi8MQFjreiHQ5KNOYw7OdQgOX8PcQRoPVhAceIxrZRC6aRVh3TLwAdfqvoO/+jgst5oqIk87r+kc42YG28VU+ItdpgvROOo/knn/OwhcgB0fbXhONOcy+X6DWnHRE/58+Xhp4PudgfuVXfqVtXAB+7dd+Dc/z+PGPf8wv//IvA3D11Vcv20z//e9/ny9+8YsrOs+KDMx73vMetm/fztzcHOeffz4jIyPMzMxw++2386//+q989rOfXdHJ+nD5j259F1fx5XpY1g0WGCs5Tq7gMKSSF2O2HlGLNAXl8iPWCrSxRBbyviQfZkqKykOuORHSCCskGoU1BiUlYS7XLgYQIo/RqavT9nyklOgDu7N8QmZgTIo4/nSCM44DJfDDCoNK4EmJ0Sk2biG8AOnnMUGIPfBke7wC2x7DgjfivnBJI5HGbrwZ55i1FuOX8D2J9UJCHaNM041BdPaVhTL+b14GSYsED9tFeSPMItdfSKxO216MLA0RnPdWRzcT5LGP3NW1se2p5Oujj2VxOLmVZ9nAjI+P97yXUjI0NMTcXKcYZuPGjZx22mlL9n344YdXfJ4VGZg3velN1Ot1rr/+er7//e+3Px8aGuLjH/84b37zm1d8wpc6pHBUKLrLyIRdei+B98wCJY9OVdv1XrGBIeUaJBUCZcH3VI/hEkKgVcB0rQk2weJo+wuh37OdVF5PEleUhnp+FFb52KEJsCkiBSnqqEIZG7ewe123u8Vihtcjy8OkmVfkPBKXN7FW01NtZQyqOkm7Ekv62LCAiBrwxJ3orBnSTmxCzO7Djh6HDfKuJ8VoRBIh8yXiR36KmZuGree3j26Vj0w7TM5A27i03ysPURwEQPu5rnCb6Cm06KOPZfE8NjCLE/paa2ZmZhgZGTmq51lxFvEd73gH73jHO3jssceYmZmhUqmwadOmF1y38XMNIQQTAwWmqk1SY8gHHsPFo9Pp3IpTuh9TT+JyMJmhUMK9FqPajHtCwLVWTD7wDulByeIA3mm/TPJfP8JqTbrpLAKl2hO4SVpInXOCYF0lrPbAU5jiIHp4A3LmKUgTbFjEDq1HJI2eYmcR13HmJ9vXJNiogXn8vkwXJmNs3vMLRFjAPHgncuMrsfkStjqDmXoSNTiBfuLnLrH/2H9ijz/deWV+iFTShQiFwCsNOonmg13v+tMwux9womKFAeREX6Kij6fDYeRgnuU+mH/7t38jiiLC0M093/3ud0nTlPPOO+9p9jw8HPQXZYxpG4/uqoHjjjuup3tz4bu+oVk5Ak+ydujoV9bEuvdhlssYiOXkl7s/86IqflzF2AHkwFJamm6o0Q1EldXMt2IKNgY6jYHGwuzcPHmt6S0/yATM4gZ2YA0mcNxcQkq84jhJoyv0tHisFkRjzoXC1CLSyuIQojKGmT8AD2Z9MGEBEzdBSGRpECYfwzxxH3LtiQSv/FUgB12qk/V776D+k/+FGhhi6Dd/t4fiRAQ51PGLkvfPAMmTD6L370SNrME/7uVH7bh9PI9gzMp7gJ7lXqGpqSkuueQS3v3ud7N3716uu+46Xv3qV/PqV7+aO++88+kPsEIc1MCccsop3HrrrWzdupWTTz75kBONEIL777//qA2qjyNDwe818oleakz8ZUpf84FHtRkTNA5QmnPUJ9QnMa151NOs1H1PEkow1gPjQmxk6pUFYpLcACptodpiWT5MP4XM3pv8ADZfQfqh8yCEaBsWE+SRzVnXDJrR24jSEHJ8I/bAzqzxMdOBGRhznkl5GFusYB+9FzGyFqsTvA0nQdRweZnKMGL8+CXXUb3je8zd9v+237cevo/Vv3fdMVk4te77d6L//BdXyeb5hK94Lbmtv3rUz9PHc4vnc5L/jW98I2NjY1x11VXk83ne+ta3cuWVVx718xzUwFx22WXt0uTLL7/8qJ+4j6MPz/NYN5Rn10wTi/OUyoU8cZKAdcZlOfnlfOA7RtepfV1SyQZm92DHNx9ycWFMxgogFC2Rx9MJkhRlU6c0bA3zpbUMmTrCD9syx1lHDjKqwtBqvMxbCIoDpFETsBzQHoTjjET7EEKB5zlvpDKCSTL25CCEgfEeKWXKI7DhZMRIxqY8OI6YesL9LQQi6c29AFT/7Vs9722zQbLzUcINRz8UFv/sfznjApAmRD/7j76B6eNZhVKKj370o3z0ox9d8t0555zDgw8uo/OU4cILL+TCCy9c0XkOamC6jcrg4CCvf/3rWb9+/YoO2sfRh7WWNElcNZcQ+EHYs7o2xjLfjDDGsLrkoYRAZjmRXLA8Mae1lihJibMmzSDIUc2PEIcVhJAILLNT8/xipsVoMeT0NQMoKZhrJvzn7jkSbTh5tEjRXyCaVMRKEqSabn4B6edQmVRwOjfZ05djEdy7r4E2dUqh4uVjZfysMU+36sR+iSidJydtTye+WXuyM2KtKnaRARRCIFZ1NacsDrUtY2SXy7+YfY+gJ9YyEwviVBN6iqFiuGzo8bCgetkXDpX7eT7AxC3iO/7RVc7ligTnvBmZe4k2Tx4OnsdJ/mcLK/L/r732Wh544IFjPZY+DgGdJo7O3TpW4jhqtdUlAWbrTeJUk1NkTMAWnabLduIuIE5SWnGCsZZUG+pDm2gVRrF+HqMCjJej6Cs2VEIena7zk12zxNrwg0f3c6ARMx+l/GT3PN2ROAsIk2Tl2NCwinK+k8swhaEOPQsCXRgiNa5PphppJ+qWYbTiSDjnc6syzjT3gzXGEgcldBo7ihUd93ZNeyEdrnThZI+FcC+poLJUUXLwze/see9VKvhSs3//NI04JTWWepxyoL7U+zlc5M/7TSev7IegfHLn/p/P+JjHEvF//L1rorUGmlX3vo+nRxdV0opeh4F9+/Zx5ZVXcs4557B161YuvfTSQ5YPP/nkk1xxxRWcd9557N69mzvuuOOwyo2PFCtaOq1bt479+/cf67G8pGGtxVgOqpKptV68Q7tPxVpLamyHQbh7pW9MR+Z40co7WXxMaIea2pVnUjCY89AW9lQjNjZjFIYk80MSY3liPua08bIbD4ZIDlKNIoRQDBWCHsp5myuj/RxCJ64vRXpQ76zeqlHHIPpSsHYgR7WlqAdr8FtzICRJbtDp1sRNR4muE4zRTrtl1QZUroSOG9BqYjzfsQEEeTdBhgXs4h4YIL/lNMbe/8fU/uWreIFP4fjjAUsU9Cp2RkdBB8g/7uWU3no5ZnovcnAMNTj6jI95TBHVe98vE2LsYxkco05+ay2XXHIJpVKJm2++mXw+zxe+8AW2bdvG7bff3u7EX0CtVmPbtm1s3ryZW265BaUUN9xwA+9617v4p3/6p6NemtyNFRmYt7/97Xz2s5/lJz/5CVu2bGHVqlVLtnnb29521Af3UsFULeKpLG9SyXlsXlVcGoYREmN1+3NLr8Hoyo33wBrLXN11oPtKUsg5byKtzYC2oHK9oSdrkZm2icA9zK3U/UiO85sMT+7i13OWGePzH60RrJCUAw9PSczMHmyrSg7Il4axrRmYaqIRyOF1yELWO6J8Z1yWGXCgssrFmT3Y+UkUUC4M0QiHSIrZc6cT8lO/6PSxqMBFvaxE5Uqkj91L+sAP3XdSIV/2KtRCQ2jcgPLyE3owvpaBc16HndnLQtmo0hFadvjTvKOU9FeVEVTl2P2wjyq6ZZ+hQ9jZxyFxrJL8+/fvZ/PmzXzgAx9os6i8//3v54ILLuChhx5i69beascf/OAH7Nu3j3/8x3+kXHZVk3/6p3/K2Wefzfe+970ejsmjjRUZmE996lMAfOtb31r2eyFE38AcIaJUt40LQLWVMlmNmKj0arTMRJocECoXTppqGtblXF+LEILBQo7ZRotGail4tBmLm2nnwU20IU41no6wSQsfMNLD4Kq3EseK4owMGcuAtvx8qo6P4RQ57QJbAgZlwsl+lQP5cTavKmKb867rPYOtTXf1v1jMzE5E7sROk2lmXOa76L6kgJPGy9hWDVvteMyqMUOQpsSlccBSOPALpEk6/TE6BlVEjm3EmLRjXACUQpmk7ZlZkyLSg6/A5fpT0K06NOdBeYwWPKZSN2YlBSOll55wln/G+SR338YCy4LfLR/dxyFwOCzJKzcwo6OjXHfdde33+/fv5+abb2ZsbIyXvexlS7Y/44wz+Iu/+Iu2cVmAtZbZ2dkVn/dIsCID873vfe+YDuKljDi1Pd6Ho45Z+rDF2jIbmzYXl8BR7i+E1HxPkVpoJQaUx3A+R6rNEsXGA7UWvk1QqaQoUnxTIxI+MiwSadNua7TWcueueUw2rrIwPa1gSsDmombL6rJjA0hjDtosloUKbKuGVxqANAVr8PyAMWDVkEFrg6xNwcxOjLe08TSsTRHM7Qas67BfHO4rjaLxUdVe3RfhBdmPPAv9QfueWGuwSQS4xsuFBkzv5NdijXa0/UKwxjqj/oyT+y9QqFXrUG+8BBO3wAv6PW8rxREk+ffu3bvkq0ql0sMb1o2PfOQjfP3rXycIAm688cYl4TGA1atXLyEr/tKXvkQURcvySx5NrMjA/PjHP+Z1r3sdw8PDS77bt28f3/jGN7jkkkuO+uBeCsgHEtE2Gy5aNZBfSnJZDj2acUePXmVaLQt4aN98ew00VUtoxoY1A70Ki7E27K4lKAGezBGgCTwPIQW2ZdwULGzb+ykHkmqkMQiaVmKsI85cyPtQn8E8/CPkCWcjwyK6PtMV9nJ9KxjT1pq2U49jBsbxBieWXJ/ceR+2HesXiFyph4Ifazol1MZgpeyMA8GUyUOticWnvGoj+f2Oot9GTReSy0ynRSDyFawxJPOTLFhQ4fl45ZG24RKyU+klxFJG6pciZPDS896eEY4gB3PRRRct+eryyy8/qBzKxRdfzEUXXcStt97KZZddxo4dOzj11FMPearbbruNP/uzP2Pbtm2ceOKJKxvfEeKQnfzgVrIf/ehH+fKXv8zg4OCS7e644w6uv/76voE5QnhScuJ4iadmHH3/aClgcBkDM5gPMBbmWwmelExUcu3JME3TJQ52LdZIKSjlc0zXmlSjlMfnWgznQ5R0U3WMQlpY4BQ2gI8zdTlP8tpSlfsImE0l44F2csVR1XGS6QRSF98y+59Crd6CHFyNqR3IelVGsVEdO7O7S6jMYmf3YgfGetUhm/PYqN4JeWUUMOSKGZPxuOM0m97lSnzjCJImVil3zMR5T1Y4o1DbdC75uT2Ogn/1ZtLhDajqJNYap3rp55FRo6d72qaJk1D2jw5tTx99HEkOZseOHUxM9C7ADua9AGzZsgVwaYx7772XL3/5y4ckH/6bv/kbPv3pT/OWt7yF3/u931vR2J4JDmpgLrroIu655x7AGZl3vvOdB9v0aS1mN4wxfPGLX+SrX/0q8/PznHnmmfzRH/1RD/3MwfDNb36T7du3c/vtt69o+xcK8r7iZWOlQ24jhGCkGDJymLxlnpLMxJY7n5pj6+oylVBRTwwLUbjFPSQFT5AiGCoE2Jrl7EoX7X8qsdVpyBV6Q1QmJa1OY4zFFEZAeohUIxs1hFkaNtNxC2tcqEt6PmmaIru8OHfBoCa2YJrz6PkpQCBXvwyZK6If+wm0EmfkFjbuuVkS75RXg/KRqzaQNGrooawvxlqc2OYylDlzU+h9j0GuiHfcqS681kcfR4ojoIqZmJhg3brFAkO9mJyc5M477+RNb3pT+3copeSEE05g3759Bzm84VOf+hR/+7d/y6WXXsqVV155xGzth4ODGphPfvKT3HbbbVhrueGGG3jrW9/KmjVreraRUlKpVPiN3/iNFZ/whhtu4O/+7u/4zGc+w/j4ONdeey0XX3wx3/rWt9rEa8th165dfOITn1jxeV5K8Jahfwm6HIQNg3kG/GFUJj5W8CVTdacB4y+E5hD4EnIKrHCdvmmujG05bjCLIG02URZUV4gKqdAqhMgRVYqkickNQtrCmgT8HCSZjgoCGxYwiTMMVqcuH+PlEGHBVXgtlFSPbMC06piZPe3rMNM7YdVxyNHjMY37sJlGTOrlXGWTdd01pbSaSRKPYNME6rOQL2eldgYOTKEmNmKiWlfyy6Af+KEzWkKSTO/BP+u/9XpaffRxODhGipZ79uxh+/btrF69mrPOOguAJEm4//77D5pT+eM//mO++tWvcvXVVy8bhjtWOKiB2bx5c7ubf/fu3bzvfe9jw4YNz+hkC/LK27dvb9+I6667jte85jXcdtttvOUtb1l2P2MMV111Faeccgp33HHHMxrDixUnjBR4aq5Fog3FQLF2sJPsk1h81TVRWhgtBQyIBCMENa2QWPKqt/RZDU5gGnnXyW0MyVCZfK6I8JTrPlc+Niw6hmE6YmDCJMik6SZnJbGiACbFBkVs6DTq2/mV7G89tgVRn0boBK+yClkcRB/YueQ6bWMOOTiO3HQmtjaNTVp4SIZtnSQ/hG8T8kEOEQwhwgLpUw/AQ3fB6IaMB203RnmItVvwB8YwUdOd/6Efdzwia7DNKrTqzjD10ceR4Bj1wZx22mmcc845XH311fyP//E/qFQq3HTTTczOzrJt2za01kxPT1Mul8nlctx+++185Stf4X3vex/nn39+jwJxoVBYtjDgaGFFbMoLZcqH0mJeSWXJAw88QKPR4Nxzz21/ViqVOPnkk7n77rsPamBuuukmkiTh8ssvf1EZGJPGrh/FGqSfRxUHEELwwGSVn+x05YNnrRvkpLGDT3KtRPOfu+aoxSmVnMfWNYNLNGWWusKWasvgFfMMFQJEo442JmMAAJsRvWhtiGQOG4YkBlJjmVclrIVQWgY8S2otAb2UECKNXG6ELHglFVYqR8svBE2rMEhn1Np5fIktrUKYFPvUz9BWQ3EIVNA2RtZCtd6g0HqUOa9CpFahfMGqUo6it5CU701Ei3zZ/cgnH+98NjienVKh8i40afywXQbQPpkXYOamiO/6J2d8vIDg3AuQpaGD/j/66GMBgsPIwRxGmbKUkuuvv57Pfe5zfPCDH6RarXLWWWexY8cO1q9fz86dO3nDG97Apz/9aS688EK+8Y1vAG4evemmm3qO9b73vY8PfehDK7+ow8Qh2ZR37NjBGWeccdTYlBfig4vV1MbGxtizZ89yu3Dfffdxyy238LWvfe2g8cUXIqw1pNUD7ZWLiZugFAdSnzufnCHNchc/enKG4ULAWGn58OFPd80y13JNcDONhHt2z3H2ht4JUFmNZxJS4bXfa63ZOWfI+QprtJNTzrYXaIwxRIkLo8XG5SzqSedHEBloaCh6gljlCXUWBhMykzpuIbpWZcKkWAQJPiZjQTY4gv/ukga58+ed0urqASgOYYM8WEiR5KWhqkq0RNYwaiyT1SZrB4vLPqNq1TrSyiqY398en3fq0jCCt+l04tmDVl6tAAAgAElEQVS9rnDBGtSmrQg/JLrrm05LBiCNie/4Brlfe/ey/4s++ujBMeQiGxgY4Jprrln2u3Xr1vWQVa5U3vhY4JBsygs5l8suu+yoJISaTTcJBYvIF4MgII7jJds3Gg22b9/O9u3bOf7445/WwMzPzzM/P9/z2XJ15c8LGN2T025qi25E7E9sbwLawnQjPqiB6aZWscB81KXJorXTetEpORthbdym089JRaQlrUQT9hgXZ/PiJHV/C4HAspj53yKILZSFBelhZA6LQunY5T/SFiwoVFqDEOAFIbVU0oxS6ommFCqE71Eq5dplz9YkXScxGGOYpML+2DLhJ4yIlET4PewD1rrmUNX9WRJBEtHcvYvUlsmdchpKgRheh1wmZyXCPME5b8Y25l1PTJiVeOtFtDKL+or66OOg6JNdroxNebka7ChyP7RDJeYXI5dz4Ys4jnuMTBzHFAqFJdt/8pOf5Pjjj+e3f/u3V3T8L33pS8+ptT4sSNVOWjw4L3iiAUKkBJ5xxrzNHwbDhYNXM5VDr+3BCKASun9p1GxiFx5ao3E+Q+YtAZGRrhzZV9hIYjFt42KBx2ZajOQVBV/iSddYWe+a+wWWQLiQmkaQEFA+8Ag2yCOndzsa/ULFXcvCJD35CA05zOOJExmbbGrGCprhcsHl38Nix7gK6TyJxgwTrSqPBSdRkIZBleLbhMT6bX4cge1pgtQHdmKf+Bl7/r/baTz+RPt4G/7gs+SXMS7ta5LKSUF3Q3m9RmaZJtA++lgWxvSouT7tti9CrKhExlrL5z//+Z6J/qc//SnnnnsuN9xww4pPttBNOjk52fP55OTkkrAZwN///d/zox/9iK1bt7J169Z2r80FF1zA1VdfvWT7d7/73Xzve9/ree3YsWPF43s2IYTEK49Q05InGmAQaOu6+E8YKRJ6kpwnOXfD0EG9F4Az1g4ymPNQUjCU9zl9zSBGpx3jAiAVRoUgBAbB/sQjRrFuIE/eV4T5AgbhPAFgT9N5KAeaps15JoSgEsr2AxNKKCiIrCBBoq0LlckDT0HSQtRnEa16e3IWANYykR5YuAOAYLLRGacI8sj1p2Gl17OiEybllexhyuQ4oAMqaZWcbiKsxjMxq6pPuIo0su78J35GPD3dMS4A1rDnpj897P9TcPZvOiMDWQ7mzYd9jD5emrDGHNbrxYgVdfLfeOON3HLLLT3NlCeccALvete7uOmmm6hUKofsk1nASSedRKlU4q677mLTpk2AY/q8//77+Z3f+Z0l299+++097++9916uuuoqbrzxxmU5dw5FqfB8hPQCbHEYeWAGk+VcjIVyzuOdZ6xMeyfnK847vkOaaK2lGWlS47yOhWZ/ozxUoUxOSRZX2SulKJQqPDRZ7VHB7I6KCSEIlGC06JobTRJRsx7dPShWysxLyvasHnBKk14nyyJwVW2mq62yG6KyCp0fwKsf6Pk8R8J55SYoDzszySoWcSiZLJtjNFhLUq+BEJRf/nJUsUDj0cdIm41D3svlIAdGyf0f//2w9+ujjz5WaGD+4R/+gQ9+8IO8973vbX82OjrKhz70IYrFIjt27FiRgQmCgN/93d/luuuuY9WqVaxbt45rr72W8fFxzj///CXldYubKRfyKWvWrDmmFNPPJgZyPp4U6EwTRQlYN5A/4uPVmhGxdquhxEJOugl9LjbU6jWOGy61GYsXY6gQMFWLXOUwkPNEd6qj7YVgMsVKJBaZ5UMsflx1OieZWqPF5UKUv8CcLJgn6DEu3jK5PTG0FhYZGJlGmP2Pu9JnKbGyi49MSPBc+FUoH0pD5FdrVr/lLeTXrkEoxfC551J9fPcR3dM++jgiWL3yEJl95jIQz0esyMBMTU0dlLPm5JNPPqy8xwc+8AG01lx99dU0m03OPPNM/vIv/5IgCJaU170U4EnB6zaN8NBUjVhbjh/KM3KInMuhYIxtG5cFzyIylig1zGf5k7lmzOhBGIFXFQOUENTilFAJysqRXxoWAlq4kmpr8GxMpXGAZjAAQhDG8+iwTCQDpB9h0xThh+TXn4RImtjmHMLPUSmNkNtVJTKQU4LT1w4sc08sxgsQC2EvqWChEMEaMAJKAxA7njEmTugpk1dbzkbs+i8K5QMdbjGlGNh6xhHd1z76OCL0czArMzDr16/n3//933nta1+75Lsf/vCHS5g6DwWlVLsybDEWl9ctxtNpRT9fYK0lTlJSrRFCkAuDQzLx5jzFK1YvnWgPG8LlcB6ebtJMNOOlgPGiT7UnOe8w14yZabrKvaIvCVVWAvznnyDa+ThJZZDC+z9KUMy5EmMVuIIwISEoImyEsimlyHkaFmjKHNPl4xduAsWdPyffrGJ9H6MC13eiFK86fgRrNHp+P3Z2DzosIPIVdH0WjEHqJGvSXP7xtFhs1HLhOJ0ikgi6aV2McbLI1jqyS2ucIepTVvbxLMJqjV1G1O9g274YsSID8453vIM/+ZM/QWvN+eefz6pVq5ienub222/n1ltv5aqrrjrW43xBIU5S4gWpYmtptCKKufCYc/8I4J69tbYGzOOzLVIDAznPcXsJwWAhoB6l7Ku22tmPODUM5RST1/0hepdLjKcHprB7HkEcvxn8PG0JMmsQSRNRWuU0W7KGSoAZbxjIytCSCP+e7xC19hNsfoW7FTohTRP8kbXo6T3YrORXpwlEC3QymQ6aH0ISuWMLp07TqTBTCKszNmWD3fcIev1pKKWcpPSu+x3tTKve6ZA2kQuf9dHHs4Uj4CJ7sWFFBuad73wnU1NT3HLLLdx6662AW6V7nse2bdvYtm3bsRzjCw7potWI7e5qPwZYmHibqekKkbmCgXqsefl42ZETe64KrBYnPal1i2tYNFO9PUPhho2dNwuhJgCTupDU6pMw85MIY6A4zIRUzD76X5ippwgf+THCaLzR3mIFqxOSOMakUW8JY3fvjxCYkePxZGZAAlfCntTm0EISzu/phL6y8RM3HK2L0U7S15il9Bu16RXczT76OEqwhxEie6n1wSzGlVdeyaWXXso999zDzMwMlUqFV7ziFQwN9WkzFkNKiVlkZI6VcUm1Yb4ZOSNmF9dkOdLLNHEGZSZy3yamhxQFgAIJQ5+8HhtHHPiHHQy+8S3Y/ABY3dORj7VYIWhFEftmqzxV97DAWH2OLWtHqbRmmBpYTf2NHwRrGJx/igHACEkrHHSU+lFCmB9yI4iqCKMhjZBRpoipfMiVEKXBnvuWSB+Tamxtyo2r50KzvJJUzhjKpQzL5I4d51IffSyGNdoJ161w2xcjVmxgwPGGveY1rzlWY3nRIBf4NFrGddED+TA4ZuGxamZcwM2rm4dyPDztyCc9AYXAcXSZLtp8X0CoJK3M26l4hlBaBBKRy7Pqt/97djwBKCy9RkY0a1RlkZ31duqd/YlkcGYOf/OriOstlwNBMjd4HEVZJ/ELzrhk9yGWATkTQVhCRDVEY65LAjlBJE2gV38o9H2MsbQG1pKffbJtIAUCmQmECSFg9Ymw50FsvgTNGiCgUEGuObbiSn300YN+iOzwDEwfK4MQgkIu7Hl/rGC6Jn6JZV3JpxZpIuMkfhd0X0SXyyKEYCCnWJ8PwRqSxryrPl6gvM8aKzs7Spjd6RLv1mC9EG0sA6HHfKzR1jWKRnGMnzbIJZZWUMk8CYkurcKkvZQrFpEdW6Aqo5jmvCsgEMIpYCZLKVmEEOQDHz1zINsuRWQKm2gNnsQmkTvOhtNRUjqqG2v6+Zc+nnW4BsqVejB9A9PHYeDZEPMBZ0SMtfhoAgxWwumrfB6Y1dQTSyV0K/vF6YjQd4nyZH4KI3xSv0PVI9t9LtmOicuXCGswCExlNRVPUvIDtLX87/0thNasnn0YYRLKFiK/xN7Bl4GA6VpEPqOcWaDBkXQsnwhyWD+XVXpl3li4VIDN6pRkdhL8PHghImkhW/NuP+Wh67PYucm2NZXDa5FhEVBLjtVHH8cc/T6YvoF5ocN5MNa1L4os1yMEG8uKyQhGCx6elCgFzdg9xIXAIx/4pLVZsBa9UOKbGUUjPYSxSGsQOnb0+9LDYjHFEawfInBNodLCuqJioDGFbMUZNxiESY1ydICybTFbGKepQ0IEvrD4wuBbJ+zlFyvuR9guM86o+Zexz7ox30mGCon181ghkaNOp8jOT8KC3DJg5iaRYxuXHqiPPp4N9ENkfQPzQoe1lsdnW5w6pOguJSgFiuGhMtoY5poJWhssEkVK0JqlGXk0rEIQErTDVV2QCmMUNp5FAklQxBcKf2iCOOqEr4QQTAwUUDbEVrvyNBgqtT3IfBFtLImOCU0DJRLyxTKiOEQax8StFsLqtmSyBSdkplPiqSfBGrzSMLJQwWIRaYSIXY7HhCXk6HEIz3d5qMVumskkEYxG5krIcCmhah99HCtYbQ6jD6ZvYPp4HuKB/U2emG1SkDmOq/go4SZ9GYQYa9kz12znaay1jKQzJFhm/ZHMqHik2pKXC/36Fpm2kFIh6jNONAk39adI/Cw/0y0poDwPWx7FTj2eUZS7yd6L5jhQGGVWe4yYKkNUkViYb6JbNWxp1I0L4br1jQY/dOMQwjEXpwlpbdZ5YVhsY6ZdAafSCDuy1rEMCIEoDmIbc21aGiuEk0sGdLMGg+PIfiVZH88W+iGyvoF5oeOJuRbawo/3tZhspAzlPE5bM4T0PJpJ2mMIBBDJANFd4CsEqbHI2gGkUgiTIuMatjTeNi4L+3o2daSXYYjWGmstSimklKSAGd+CmXwML66DdmXEc8EIFsEQNWdcALCIuA6Mtsdg8oN4NsGkXbQDAEqBNpj6LDKNesaDNS58FzjuNlkZwwZ5bBIhvAA9381nZjGN+b6B6ePZgzkMA9MvU+7j2UIjSqhFCSbLZwghqOQDcn7n35WmKc3pvbxtdUzTKP51SvJENcUXlqQ+i0U4j0N67VJibaBqQyIUpIZAQqAUFoHQEX7iqGMsYNXBE+NCCLxFuipCSvAC0qCMalbbhkBhAItG4nfLwgrJ/QciWqmlEkg2DnhI6eE0Lrvg1MSwuGo1chVk3ECY1I1UdsYphEDkK5DP+goWVCwXrilpEc9O4lVWrUjiu48+ngmssSuuDrPGPv1GL0D0f2XPM8SpZr4Vd8JauET+bCMi7XpYm9N7CUyEwlKUKW8Y0wQSzhoLABfG8rHkhGmXHSsp0F0TcmzAWNcD41snaWwBkx/EColRQZt83wLGP/jqXwZ5UB7e4BjaCzFCYYVkzE+QwF4xhF7wiYTgkXSAeuKUMmcjw5PziYtXL5QTL+RUTOrCBwuxbKkwYcmVIg9MILzliUGFVMjScPseun09SGN0bXbZffro46hiwYNZ6etFiL4H8xzBdd4v6jkBkoMk+wSua9+TEmMMnonbqwMB5IXmwpePOU6vBRoVAV63cJcQKCFI6Q2bFUOPxF8POgEUKAkGZFjEmtBN7spDSIXJxJEWDIUnRfsa/NIQNp9iSkO06jWE5xGahM1eTGIlqR12hqw0zNTuDveYBaqJzfpmPFRYxJjUUf0HIUYn0Kx23QwJY5uRxUMThKrSEFYIbGOedl4H2hxoffRxTNHPwfQNzHOBNE1Jk04oKAxDF2IC/INotVjAk5IoTZmpRxTwUCTthHeCwosjDB231AJpd77FWhZ74qGSJMYy2TAMhx4FEuh61q30ENLrEGNGEbXE0Ehd4M1TkvFKHpkZGS0VuxsRQuQpK4myGhHkXaUaYJImvh8SqogoM6YCKHrZ9wiXh7EWpIeJqiixIBbQ1VSaW1lFmAwLmGat57ODeT199NHH0UU/RPYsw1rbY1wAkq73gaco53q7zoWAgXyApySzdbf6roeDRHgYnHGxuQraWh6uQqzdVKyRpKKzhsiZFsp0OupzCgq+ZDZy+Q1l3Dja2i8LY24PxCc1lkbaCd8l2lDNaP8B9lcdTU3eE0gBJijQ9h6EgCCPlJJTV1fI+xIpoBwIji9LF8LqvmgE+HkXnw4LbWYANTi+4s586QXIfLnzgfJQpT5/Xh/HHgs5mJW9Xpw5mL4H8zyAtZbJWoQ2luGCTzEMKIadVbY2hijRNLtYkIVU7PeGaaWaIc8y5EniJKWp4Rd1wYZKgJICD/dPFljySQsB1E2ABvKBkxDQBnzpOMqW9jdKXLzMc70nZrEvAbVWTPWphwCBHlyDJyGX1FGeB/mBTo+NTsCkGCnIBzm2hvPYdA5ZnoDiCOncJDYs9/bkCOnskxc4fjIhs1LmlcMrDsDThNP66OOoo19F1jcwzwUW95HsqyfsrSdYCztn4dTVA+R9l4xPtWGm1uwidnRJ//lIM1V32ZRpYLW2rMkJckITadDWIm2HskbqlIYG3w8YyubvREekiaASKPLKIozEWtOhiAFE0gkvWT+P7+cXGRhL4cmfkqtPAaDnniC3aiJjFIDUpJjiSNYgWXfbxE10fRbz0J2ug1lIvE2ngZ+DsOzOvWBk0sw7mtnV/hHa+ixmw2n9SrA+nt/oG5h+iOzZxkIfSad/RLK3nmAyqn1tYV8WZgJoLNJuWcijTDc7qXoD7KlbVJjjxLDOKhUzXWuSao3EYowhRVCzAUrQfvkSqs2Yguc4zYT0QKiMiBInLEYnZCZ17IgyQ0EgHVtzqbGffGMKhUFhCPJ5hHX1aMJaVG0qU51sdoXerGM61qlrzAxCF7rCoGZ3Ok9HpwibuvsUNRylf+cmQK27x6WPPp6HMKatavl0rz5VTB9HDUII/MCFwOIoXeb7rr+X2d+Fay3rcikDniXwPYRfoBmn5LCsDyIgwkZ1GpGHlIpAQiRkuycG3OqiEoi2x2CBmpZEWuILywDNnvOnxlJLLL5w4mUASscHGeXC+C3G6CV5nR5al25G6DRCTD8BFryNpwOgq/t5JtCz+2n88J+wrSbhaa8m3PLKZ3S8PvpYEfpcZH0P5rlGMVCUQw+ZaWR5UjBRzrW/L4R+z8SspOuHP6FomAgNJc/i2wQvreN7HtrPY6zzhCyQk5BH41nNoEzQxrS9JYTAV45V2VrLfGKppZBYaBg4QAnHKua2b6o82hiyHL8rWBiYwPo5rFRYqdBJlBkrR9WigyLGC9F+sd1PAwIRNV1eR3mQxKDTdsITa5Gjx7WvWYys671pQkJpZEX318Ytqv/wf5M++SB63xM0vv81kif+67D+R330cUQ4hn0w+/bt48orr+Scc85h69atXHrppTz88MMH3X5mZoYPf/jDnH322bzqVa/i4x//OPV6/Zle4dOi78E8xxBCcNJYmdlGjLaWgXzQU6qspGSkXCBOtSvC8hTFREN1HrUg2QJY42hcbFhmb+KjMnblYaK2uKMAqgl4nnKei5DtfJAFop5nXBAjscUhGo0mqfIxQiGMIUktlVJIkqSkwqf1stfgVbMcTHkMbSLCuAZhiZbnmjONF5DIAYRJyeXyyJE12PIQtjGPGByDfAV7YCfoGDEwgcx36PplWMCsOQk7vx+hXIPlSvMv+sBerNUdLylNiB/73/jHnXT4/6w++jgMHCs9GGstl1xyCaVSiZtvvpl8Ps8XvvAFtm3bxu23306xuLQh+gMf+ACtVou/+qu/olar8bGPfYyrr76aa6+9dsXnPRL0DczzAHGaIqzGA+I4wcv1KmBKKcgF7l8VpZp/f3ya6aYlkPDqVTAcugCUzUJdTVwJb4BG0GkqtIBQHlp6GAESg5rZiYhqICRqYAu665GQgGjNUxQGbRKSKKI495Q70mwes2oLwvNJ8NGDa9w5rKVBnij08fyQNHOXPGmR0sNKj3R2H9KkoHy8iY2dkuOMdn85yCAHq9Yd9PuDQRQrHRYAAOUhKyvzfvro45nAWrNyqhi7cgOzf/9+Nm/ezAc+8AE2bnRyFO9///u54IILeOihh9i6dWvP9j/96U+56667+Na3vsUJJ5wAwCc/+Une85738OEPf5g1a9as+NyHi36I7DmGMYZm1OmDSbQmSpbmZRbwk11zzDbd9rGB/5hyORkTuFXLrmrUZgmIrWTOhm3WlRYeNQJqWhAZELUDiKju8iPWsGr+sS52AMuwbDlCSUBZQ14kLnkPEDcRT/0MYTQS0z7ngrqllq5nZgGpccZHRTVnXAB0gp7dd/Ru5jJQlWHy5/03x1kmFd7EceRe8UvH9Jx99AELdP0rf60Uo6OjXHfddW3jsn//fm6++WbGxsZ42ctetmT7u+++m5GRkbZxATjzzDMRQnD33Xc/8ws9BPoezHOMbsnjBUSpJvA95CKNFqNTZhtRN2UkqYU0N8T+ZkwUNR3LsfTwfI+hUDGfCGqELtnetZ7YHwvGo4hiV42aZ1PG/ATjh3hJC6ETFlLzQgCq05sjAGFSDvzPq8D3yP325YjR1aQop1K5zLXmwwCqe9vvrfQwSNQC71qaOIPmBW1mA2utq7IRrvfnSJRCc6f9EuFJr8LqBBEWnjW10T5e2rDarthwWH1kjZYf+chH+PrXv04QBNx4443LhscmJyeZmJjo+SwIAoaGhti7d++S7Y8m+gbmOcbiXIKxlmozYbqZctxQESkXKFYi0vocY6GlnrgkvsAVCVgBQzkf8j67qwnNxDAsDJVSgfmZZpZcXzqpNrwS+dTR6LeT7ypAWYNozjqVSSEdnb4FGbtjLfTBxHv3Yk3KyNsuQQ1VEESkSKo21y51XoAQ4CmFDkJs3EL7BUzeNT82WxFe2oKo3t7YHxwHKUkatXb4QEiFny8ekYEQfoDw+xQxfTx7OJIQ2XITfqVSoVKpLLvfxRdfzEUXXcStt97KZZddxo4dOzj11FN7tmk2mwTB0mc/CAKi6Njy8vUNzHMMKQSlfI56KyLRhkZqaGnXRzLXShgquAcjbTiyx1OHFAbNvqalnAs4ZdRxci0YorGix+OzCTORZaPnMVoK2V9zD1ExUMSpJs6e+ao/CCZlIJlFKYUeXAsmQTbnnBFJY/ACEjxqWlLVZTaoWaTVpIll5l++Q+7k01EjY8iMvt/DEKAJwjxSQJTo7BpdXkkNTpDOTWHCrg5/IBWKNuOZtejGPCJX7IlNW6MxOkV5K6OJ6aOP5xKHE/pa2O6iiy5a8t3ll1/OFVdcsex+W7ZsAeBTn/oU9957L1/+8pf57Gc/27NNLpcjjuMl+8ZxTKFwbFVe+wbmKOG/9szzjz/dRTnn8TvnHcdgYeWrZU9JpOcx3Wi2i50sQBqhZ2fcRGxcAl8KwenD2WReGqAe91apLITVLNCMU4q+h86lCJNSoIHwBVUbMNdKKYsYkyvzVDDMOFXyrXmsF2LCIkKnENUQU0/ipTH53CCNgY3sKpxMjoSRPT9j/G3vwA6MIbq0YQSON01lVDeFxawuQmKLI53Eu7UIk7imNCERmUGxmKUSyNn2ffTxQsCRGJgdO3YsCWct9l4mJye58847edOb3tRh6pCSE044gX37luY0JyYmmJyc7PksjmNmZmaWnOtoo29gjgIe3DvPJX91F63E4EnBbT/bw1cv+yVy/sFFuxaj4HuOSj+bQEMSSrUD7eCVFAITVjqrfmuxQuF7kKRusjbWMtN0f/tSsG++ScGXSGso01rYjZKtU5QpMuuxLKsEpRNMUMSGRWcErIE0RraqSCBf28dY2mJq5CTG5h+CfIjIhxihXU4oK3UWUiIPwRWWJCnpgnExBmnidiEBXohNY4Q1qFwJoXx03GE1QAhk33vp4wUCawxGH16Z8sTEBOvWHbpacs+ePWzfvp3Vq1dz1llnAY4w9/777+f1r3/9ku1f9apX8bnPfY5HH32UTZs2AbST+wv7Hyv0q8iOAr593x5aiXtAUmOZbyb8fOfcYR1DScHxw0VGCgHDhYA1gcnkvzJYg6wfgLSFiOvImSeRJiX0fXKBjycl862U+ZYm7wnKoUJJZ0ACelmShTFtOyUEKGFRhQFsvuJyLrCkmVEAQWuO1aqb8gWk1cjZndCqItMYvzzcTtAvh7T7B2ctmI4ssxuMjzc4ivSdhEFQKCP9AOWHBPlSP0HfxwsGK2dSXnmuBuC0007jnHPO4eqrr+buu+/moYce4vd///eZnZ1l27ZtaK2Zmpqi1XKLs1e+8pWcccYZfPjDH+a+++7jrrvu4uqrr+aCCy5gfHz8WF0+0Pdgjhg/fOwAf/nDxzEWNlRCfCVIskoQYy2lXOfWamOZqjaJU0PgSUbLeZRcOlEqKVlVcl38ptZ0ol5dNJciaeJF1fZ7pGuU9D0P3/NYGwRYM8+QivEkIH0QBoSHxcdajdRx5mkoMBYRO3ljG9exQYQoDHYGtKQ2X/RIFJONThiNjGoYa6k1HG9YqAT+cgzGJkVFmQCYFwIG0iQ7knR9Kl16LfV7fkj1+98EqRh849vJn3T6of4tffTxvMGRhMhWAikl119/PZ/73Of44Ac/SLVa5ayzzmLHjh2sX7+enTt38oY3vIFPf/rTXHjhhQgh+OIXv8gnPvEJ3v3udxMEAb/+67/Oxz72sSO9tBWjb2COAI9P1/nT7z1MlLqHYraZMDaYZ6YaYazl/FMmOHGio0EyVW3STNzKvZloJuebrB48dHJNFAagMeuIHy0Q5CGqglCAhaE1y2iiWEa9yLmlKugoOC4YKelhrCOhBCB2XtaCqfPiGmmQQ6isemx+MtvfQY9twuQG8LwQkUbtz610BiEqj0PWTNkyGhk1UWG+Z4TOuOCYky2g4/YYLAapOgYsevwh5r79d9jEbTP9tf+Hsf/rD/FHVx/y3vXRx4sdAwMDXHPNNct+t27dOh588MGez0ZGRvjzP//zZ2NoPegbmCPAw5P1XkEua3nnL21ky6oixUCxeaw3lBOlvXHYROu2XHIjTonTlFLg4XUlyxupgYF1FESa1fiGMLwGojpWelg/R5ymVKOUgu+RU47a39Hk93pHbT8oC0FhUlzh8tLi5bQ2R+AHqPII6dBadFiC5hyEZazywGjiiZMJkzoijUhTjbWaNBlWMOsAACAASURBVDfQKxgGpFHThcukQir3nbAWuyAmJhaKozvjpEsQrfXUI1itEb7XJuSMd///7L15kGRXfe/5OefcJbfKyqrq2npvtYQWhCRLQkhC4GfLTwY/7ADPC9thOQSYeIQ8tLEBGRCBweORIWw8A6EnPGCMeLIBmYAJbPnZMhrBwNgGGTVCGLRLSOq1uvbKyu0u55z549zKqqyqblXTi9TN/Sgy1Jl58t6bmbfuL3/b9/d8bmByzgisOQ4P5iwVu8wNzE/AtoFCT4OklIJzNpW4dFtt3fW+kkSpwZNQ8V1+ot5sM9NJWS4Ci9leK1EMFPc/PcWzsy0Azhkqc/3uTc5gCYUOKyy0IkzcAWupx5qpRkTRxIyF6bKHs4Kee0JghQKz1ETZa2S8cj/WKzhjpWNsqR/ZqSNnnumu0ZsvQlaHSKI2NuoA1k2vXL1Ta0habp6MUIqgUnNNmNY6r2qdgjChAqy1TCx2aIYDbNo+jl9xXlC80MDbdGqrXnJyThZLEy03uvZsJE/y/wTsGCzxq5eME3qSQAled8Ew549Ujrp+pK9IoCRl3+VMhBBEqWZVhTEH5ls8N9fiubk2OlNEfna2xb75dndNsxM77wcnlFkNXHd7SwYILKkVaCtAJ135FscKM5JGiDSCwB3zksqxVgWEXwQpQUqs8hHWIBeP9CT2vSNPYXSKSWK3Fic1I02aJe41vu64V2Sjkq3OeljKzsiQdNwGvUJ3y8IPUaU+WolmsZMQlgK8agUhpUv4D9bw/PyUzTkzMNoc1+1sJPdgNkiUaj7zb88x3475xQtG+LnzNvGfztvUfV4foz/DU5LNtRILzWVDka5zPhlgItMSW0kzy9/MNTskqV5TIOBZTZL9VvDQtIIanSRl33SbRBvOG+6j5IE5+DQVvdA1FBrJ4eJWnk3LJMby6rGwt0pLSHTSQRarkHQQaZyFsXRXgdkgMVICAqkU5TBEJB3iRLsigwwLzMzOIU2CwlAVLkxnPR9hEjd4qTmLmTtEUt3mxDfjpjuepemaQqCnnoehcVSWf7JJ5s0BSIXw/GOWSa+HbTfQk88j/AA5tvuYVXA5ORvmOEJkZ+s8mNzAbABjDL9x53dZzIaDffOpad75s7u4bKsLiQmg6B/7oxRC4ClJmp1wwTrXsFac8vDh+hq3cmu1wGS9RTPWBEoghduesZbUWFrajUoGwaG0SKPd4bsH5plvJ9xw3iY6iSZJgcFdhDOPEpi467W0VJkikiTWLLY7VMvKeSXGQBqhdAdbGXLVYvVJJ45ZrCKEJBEeKz0jbaE1P0Pw5L9gt70C+oZ68j/VeLa7djYy1OQcNOaxUXtpFdYPKDTmYdMldAa2UX3+e93mSwDh+9j9j6K3XYxIOplYZlbGIBQoH1mu4hWXiyyOhWnOE//b/52Nbgax71GCV/1KXg6dc8KcqiqyM4ncwGyAbz8764zLUlWWtXzl+4e5ZpfrE6mumuFyNMqFkE6coLWhUPIohIKDdafv1UpS/v2gq7DqK3gMFH1AcOXWfqoFn5mG+5Uea4vN5O9jbVmIDBZBx0p0UKbRsSzGmrl2wqZyQDX0usdmrWV/+RwGGgcwCA6qYXzhUfHdCOXnWim7RYNS4GO0Qdkoy/1kry8PgVCYga3OCIq171lOPYvVKZQHQSjXsJnlfaTyukrKfaGE2ELU6t1AmuBLydb6M0yVtzD3il9i6LkHEMLibd6NDArOnCxOo9OI5RFmZHNfFKZVhw0aGP3cDyFdltGwC5Nu7kz/8IZen5NzNPIcTG5gNsQ6LStIIRjuK6594hgIIZyicEacGhqJZraVMNNeluz3pODV2/ppJ4aFdkKz0yvfnxhnXDraEignRJkaiyqWod7oeg3rRu2EglK/y6mkHoMlj00qQbTmnWRLAlHisRgMMrjqjRsvRAxucz00L4h1PTMiO8WMQbQXIe24KZbB0XNWFgh1h03xHJ1Nm1HhVSjdQQBGeqB8bNxe18AdP7mnknNqyKvI8iT/hrh65yD9BZ+lwSoC+J3XnnNC2zTW8shEnURb+kKPbdUCA1lz5iUjZZpxymQzoRVr6tHa+TBCCHwpUFK46rRAEihFXyCpBIpNpYDZVsJ8JyXRBmPczJatzDCgEgZkwkXBAn2egfYCwiTdS21IikHRJuyG0ixgspyKFxZRUq4ZJwCuV0YoHw5mY4mzz0zNPo+IFt0IgLiNac47jzAs0XORz6Rg7Mhuwk1bEDqhVRx0n5n0XP9MVi69NGa2O4r5JzA4aucrnGq0coZL1MYQ1U0v/MKcnBfgVM2DOZPIPZgNIKXk7rdexV0PPMdsK+FXLhnnwrH15bM3SpQakhW/WpQUbKmGvGbnAAUlWOikPVW8oSfQ2pJmMv0KsEJgyJLf2eIdg2WmGhFXba0x0YiYWIzxpKQ/lPQ1JvCUBikQwv268HSM1FFPL0oCKKFpipDYevhCEyqQFvxyv6vqEoJSISRNU4wxuAyQIOwfRPzM60ge+Rbmqe/A0HaIW8hooev5CCCwCaJ/J3ZwGzZuozsdROqKIEz/GLJcIwgCqqJBNH2QiAKB769yOCyqfwS9MLXcTKoTxKq/1aWeo/WQ5X7C1/4Gemofwg+Rozvz/EvOScEY98Nuo2vPRnIDs0ECT/Lfrjsxr2UlvhTdEFYrTpnPDEqgInYPhHhSItBdI2MM+J5kqS7LWksnNt2L4VJlmZSSwXLITDNhvM/JzgiTUnr6O5RSJzNjaiPIgayfRKquuGUifeqFUbR1xqefNlJY5gnpaIkB/HqTKh2UHyCsRtSPoIxFLs5g5ycx21+Ot/VCZHUTTD4HrR8ihzZDsR+LRcRtJ0GjAuTAGCaNXQWeF2LFINYv9gws80oV1LaXYfY/gmk2MOWBbsjSWosIiqA85xktFQNkDZ8mTUk6LcAilYdXWH/YmCiU8bZdeKJfaU5OD9Ycx8CxszQHk4fIXiQ8Jdk1WEIb2zUuAIcXOxxpJpR8QaCy/hBAqeUCA2stiXG/ypdKmseqy/kgX0lGq26KpTAp5foBKskC3WDSwiSmVccEFfCLJCWX0G4URrqekAEWKSIzjTCTdcIkSBoE2DTGtOtZhz1QqUGxjNn/KGZhCrXjFVCoIGojEBSy/h8JQcl19m+5EGstaWOhG3bEakTqCgs8f0WJ8+xB7OwhZk1IjHIjoi1MUsEIhVcbzcJjriDBq425z6jTZKkIwOiUdKUyc07OqUZrV36/gRsbVF0+08g9mNOMMQZjLVJKRvoKWGC6FXfn12sLjUTz/MEOAsGrd9UoBQGeFERJyoG5Fjb7hd+MU+pRyvb+Ap0kRWAp+B6JNpQDjx12FvPot/BMAqW+FdpkEqutE6lszWHCKqYyhpfGgCQR7uJuyBKVPT9DBOnS75IVfS4I6fIjxqCbC+hCP+Li61GTT/VUaSEE7LwCEYRYo1nZzu+aRy1e2NuPY9uLYA0dv8I0A3gYNAKBZJM2FPwQb2Snk5mRnivhNmv/YM/WRGrOS5PjUUk+W8/N025gjDHccccdfPnLX6Zer3PFFVfw4Q9/mB07dqy7ft++fXzsYx9j7969aK255JJLeN/73ted5HYmEScpUbJcLVYKA2rFXsFKKWC+pSllfTX/+uw8r905iFCCbzw9zXlDRYpKcHgx4rkFN6ny4GLMSMlje61ExVfLTZ+FYapCQdrs5i5EUHB6ZENbwfMRCFRnDqRkaZp3bBV1UUEJJ4MjrcEgMwNlCcgu3nqF4TAGWezD9A3T7BuHOAEhCL0SgU6682KQHjpqL892EbJHtVl44ZowlqgMYmcOUIrmaQY10hW5nKUSbLGks7b0miWPZoUBWymkmZNzqslDZC9CiOyTn/wkd999N7fddhtf+tKXUErxtre9bd3Z0I1Gg7e85S10Oh3uvPNOPv/5z1Mul7npppuYmZk53Yd+wqw0LgCdOCH0FK/ZNUR/waPkKwQQehKVVYiVfMXXnp7iRxN1Ym3Q2Yn4/ELv5zXZcpVmjWTFL3chaF76S5hCFRNFrlpKSKiNu3/LrKnSd+G1JTmYAI1nDb4AdMxA+zC+iZAmpUBKWWhkWERVh912EK6fRXm0q+PdfQNE5WFMsYaVCusV0P3jIIQTwhQCv1JDKA+EdNssrFWZlrVRxPh51HSdwWgKT1gKnmTXUHndsQdu9wK/VHaFBUJ0Z8rk5Jwu8iqy0+zBxHHMnXfeyS233NKdvPbxj3+c6667jnvvvZc3vvGNPeu/9a1vceTIEf7+7/+evj7XOPexj32Mq666iq9//ev82q/92uk8/BNipfyLsZbHp1ssRprzRgxbq0UuG69iLHzzx6sNp6UvkIwWFaEIUZmWmQUGCh7VUNFMDNOtZM3+LGBUSOeVv0rQnEId+JF7Tqk1isurPQlfOUFKObMfkoiBcB5RrGAGt2NFQDq9H0yKN7QFr1LDzE9gF4647fTIzQjMwGaIByCJnICm1W6cACCUh983+IKfnyj2oaqDjIiUkcEQGRRe8DVSKoLS0fttcnJOJcZsXGMsryI7CTz22GO0Wi2uvvrq7mOVSoWLLrqIvXv3rjEwl19+OX/5l3/ZNS5LWGuZn58/Lcd8shBC4CtFojVf//EchxYjtIUnZlpcMlphtOJ6ToaLHhbbrTAr+ZKrxosIBMNFRaQtC4llV3/IUClASYE2lmq4HDZaMi5LJq3V6VD58YPuTlhELExh+8dwDqx1hiUzLst9L5LSoR/C4pRL5LfqGDNKWhP4zz/oxCqtxc4dJN19Fao8gK1PEbTniCqjS28aAF8ptE6w8fKYA+FvPCRgFmfgyFPLD+x7GLPzSqSXpxBzXrrkOZjTbGCOHDkCsGZM58jICIcPH16zfnx8nPHx3tkfd911F1EUrTt7ul6vU6/Xex6bmJg40cM+aYSBTxrBgcWoa0BSY3lmts1IxYVvNteKTNQjjjRcCOy67X3dhkYlBAFweKbFWLXYvVgrKRguuh4RL9Mp6+Y8gLA5jTM9Bhu3ETrB7P8RemgHGniyXeCcqqQiNRZBUuin7AWoxcllOQBroTmPiJqQxt2hZdYa0ul9eLsuQY6fR9CYReg2sVdCSEG5ECKlRMet3rkvybLw5wsyf2jtY4uTMLB549vIyck57ZxWA9Nuu4tKEAQ9jwdBQBzH672kh3vvvZdPfOITvOUtb+H8889f8/xdd93FHXfccXIOdoN8/+A8/+/T0ygheP2Fo7xs+OghGSEEhcBflXp20jAAc+2EZ2ZbiEyD7GXDfSRxhE6XO/kFMNNOGe1b1TyYVZatTpCX2zPU9ByMbMF2Wpj6DDZNiBLDw+1qd5stGVAOoVCpshR8SoQCu0JFQCpUa3qV8utycj1tzkPURtGmlE4isYjhnRCWszLilfmhY6f/TNRCN2ahtYBYnHGCl17g8jXgOu9zcl7CWH0cSX59dib5T+tfaaHgLl1xHPcYmTiOKZWOPUL4r//6r/noRz/KG9/4Rt773veuu+bNb34zb3rTm3oem5iY4MYbbzzBI1+f52Zb3POjCZIs8X73Qwd4x3W72FQ+ejJZCXj5cIVHphpdz+SysT46iebRyQZLxSTffn6OSugz3heite56ElZKOqmlk2hKQe/XZ3Eeka8EgadIOw1q7cPLUy4LJdApNOs80X8hMlPCr4SKsi+JhETFHbwsvyF3XYp59mG3cWMQfQOARYRFp4AsBFb5+GPnoBtz0GkuH4sKMNEi8tATsP0SVN+QUz7OrKs8Rt7FpjF6YQriFmLhCGLJHCcRVkiEX4BKLueS8xLH2I0bjrO0iuy0GpilcNfk5CSVyvIv/cnJSc4999x1X2OM4U/+5E/4/Oc/z9vf/nbe/e53H1XKo1qtUq2emITLRkiNwVjYP9/umQMjhODAfOeYBsZY2DVQZLjs004M/QWPSuDRSAwyk+B3+7AcWeywuVogLBQxxjgbIRVvuChgsu4mSa53Xg6UnPFuzC9gpQcm7Xo3cWmAqbEr2V0p0urESKko+wKlFNZadBzjBQW3v8EtyHINETvFZ7s4DVjoG0QUE6wKUJtfhvJ8kvrU8gFk+mMo3/XAJB1koYKtjWHmpxF9NVShvPbAl16eZN5s4t7j8gcsoW8TjJ6LzGe25LzEOZ5BYvnAsZPABRdcQKVS4bvf/S7nnONkVxqNBo8++ii/+Zu/ue5r/uiP/ogvf/nLfOhDHzplnsjxsH++xaEF1xFe9CSeFMR6KR9hGa4Ex3o5UrhbJfBYWhp4kk2hvyZsttQjI4QzAACLUcoXv3+Aq7ZWGVzVQ7PU4f+1p6bY0hdy0fAWYjYjkjbB9DNgDbLUT7EQUhRQKrp5LmbFuGPl+6RpStotqfbwyoOumKAx7a73QoAfOGdk9gB2eAfCD7BJ1imvY7od9EKivIBo/49h8ilk4GMOG9rFEYovu2T9DykTvOyWQK/sZamN5QPBcs4InFz/xjyTvA/mJBAEAb/1W7/Fxz/+ce6//34ef/xx3vWudzE6OsoNN9yA1pqpqSk6HXehuu+++/jSl77E29/+dm644Qampqa6t2az+QJ7O/k045TD9c6yujCW1+waQglnEG44f4Qt/ceW8BdCMFotoTIvLPQUQ+UCQ6WAq7cPoIQbKHbBSIWdA2vDhv/PU5MsRik6G2m/5MtZ67yZJ2da+FJw4aaSC8EJifWKJJURtApp923Bk07lzMm3OBFLaw1JqwleuMK4ONIkQUiFHNq+NncSt12VVxI5b8W4SZXdsJzysGmEfv6HqGIB6fuoMETW10ncZ0g/RJZrEJSh1M+SBIwY3Y0onnoPNSfnZGCMxegN3s5SA3PaM6XvfOc70VrzoQ99iHa7zRVXXMFf/dVfEQQBBw4c4Prrr+ejH/0ov/qrv8o999wDwKc+9Sk+9alP9Wzn5ptv5l3vetcpOcbvPzvLEwcXeMWOAV6+rdZ9PNamR8zXWDhnU5n/dK7LB2xUhbfgK7YPVboqv8ZYHjuySJQa/usrxqmE3lG3tdB2umWhkt2xy9pYjLXUOylKCELPhdrU0tFKSVwaISmNuOO0vdbJYpltGTomRHUiQvTyoLGk43pXlEAWKohN293YYtwwJdtcQEQdRLGMqB/BlgcQ3godMSEwUYQqhj2ehyqu38dirYH6FMJo1OA4YmRZ4SFXOc45k8gnWr4IBkYpxS233MItt9yy5rmtW7fyxBNPdO+f7oowgM9/6xn+9KtZQ6KFj/7W5fzyK7cBLqy1MmQjBQwU/Z/4wrckVvmF7x/gwEIbrCs5fvvVO9dIyCxxwUiFf983x0InpeBJUmNJjPNgCr6iYiyxNpkgpEVm+9ArLIrFFRu495hpoOG8sJlWSsmDgVAgWnPItus30q0Z5OBWRFgGKbE6wRx4Kku8CwgKyB0Xu/JoE68YlSxJvRBbGsAkTaTvY5KUaGae1fV21hrMsw9Bu8HSwDJx7qsQeQd+zhmI1RuvDrNnp9Zlrqa8mv/jnkdox5p2rOkkumtswOleXTxeZaDoUw09zhuuUC2sbwg2yuF6xIGFNol2+ZMoNXx339xR11+9fYBrdw5SKzovJ8l++Iisw78SeFgE/zHZZL6dYI1G2pSQFIUBaymGAWEYklroaJhs26WgFhZopq64QrbnnSIzLmlvFo4gpEKNnAOpdmExa9zgr8qAk57xfFABVkgnDVMdd+Gt7S+nU4/oTM3Qnlmg+Kob1r651gJ0GtlfpgGdYmcPntDnm5PzYmGPI0R2tuZg8maCVaweM2zpfaDoK84f2di89xciNYZ2nHDt9gF+PNti/4LL70RJSpJqfG+tOKMQgqu2DfDcTKOrwLwe2sDm/hJxJ+ueF1CwmkhIPCVRnqLdTmjEaVeiH2vps22KNkJGHrD6w3D3hRcgq8MY+YTb0YrnADfSWAWYQnVZgFIIKtf84rET9Gveztn5R5fz04HVBit/ukNkuQezit/9LxdSDBSBJyn4inf/8stPyX6stTw/2yQxltG+kFdu62d7rUCgBC8frVBvR6THOOkGy66Kq6B6w3OZuDDbqj4pgkZsSI1FG0tqLJNtw2S9TaIN/cWgOx0ToN82qdkGRRJk0sZ4xUzuRTjByP5lBQZZG8vCZco9X59ynkfWhCmyEcTd9Uq9cPVXud/NixHS3ZSHyLv1c85QjLHHdTsbyT2YVbzt+vO4eFuNJw7WecXOAX5m1wsLMf4kxNr0eCCelPzMeJXaLkUldF9LnGo8tf5FuVoICJRiptEh0JbUWjwpUMCAShktw0In5QfTCUMFgRSC6bamL/QY61O0k5RqIWDLQJl2nGKsJah3ur84lgJmYmArwiSIoOSmRy49rxT+Fa9DP/swdn4CEYQwcwAKFegfRQ2OoywY7QoGNiKVL4REnnOlE820GtE3nOdfcs5Y7HE0Wh5viKzRaHD77bdz//33Mzc3x65du3jHO97B9ddff9T1f/Znf8Y3vvENOp0Ol112Ge9///uP2n94ssgNTMbUfIu3fuxefvjsNLvG+/kff/B6do71n7L9eStGJs+3E56f77C5L2BHLUQKV6EWJwlxVjIscLNZAt/nyGJEK9GZtL/AVxIf15avTMyQnkHbMUpKY7FMtCxb9QzX2SOIGBp2HD/ySZQbl1zuG0QVKzQWFdYuV8oZBF6hgolaxIkmiVs0E4NFUPAVg+UQNbIDEy3lTTREDWSwAyEkItNFSzpN0o4GIfAL5WMaGyElYmD8qM/n5JwpGG0w4tQ0Wt5666088cQT3HbbbWzZsoV7772XPXv2cOedd3LNNdesWf/hD3+YRx55hE984hMMDAzwsY99jN/+7d/ma1/7GsXisVsrToQ8RJax546v8x/PTpFow1MH53jLx+49pftbmjofa8Oz821KvuTiUTffRGS9MCuxuLDaRL1NK5v5YoFOap3UtzUIa6i1jyCSDqoxjcJyyUiZftvifDuBh0FhqDYO4aVZU6Q1Tp9MpwS1ETQCg2u8NJVhrLXERmKFopEsFwN0Es1iJ3Gd9X1Dy2Gtvk3ulpFGbTcSFsBaknazZ3RBTs5Zi17SI3vhG8dRRTY1NcV9993HBz7wAa699lp27NjBzTffzFVXXcVXvvKVdV/zjW98gxtvvJErr7yS3bt38/u///scOXKEp556at31J4vcg8l4fN8MabcjH358eOGU7i8xBikgSg0SqAQqu/AuWxazNKseSIzLryTruNL1KGV3ehjPpsu6XalTY64VFFcOB4gjApsNFrNxC/RyM6UF4jgiLJYxIztJkwSlPEJPoZPIDQhbZ79xapzKwPZXYJMOxlhE3MI0F9BhBSEFWqf02srl7di441SVCxWEOrFqvJyclxqnKkRWLBb5zGc+w+WXX97zuBCChYX1r1uDg4Pce++9/NIv/RJ9fX189atfpVarsXPnzg3v9ychNzAZV75sjK9//3ni1OApwcU7T62Y4tKo34InMRYWorR3Dj0w09ZdI5MVCzs5fpYv08ZYfjTVYkufpiwtQmQqA0ERa0EKiVeukgzvdvkRgLgN0WLXfbVY9tcTqmmHkb4CQbgi7yE9orRDZOl6VcbSnbzZPV6hYOIxtBA0qtsxpoNFIKygJO2yR5a9RzN3GHvo8e59uesKRPHkVOfl5LwUMNpgVv28OtZaWH+8yGqNxUqlwmtf+9qeNQ8//DAPPPAAH/zgB9fd/kc/+lHe9773ce2116KUolgscuedd55y7cY8RJbxif/157n+Z3awqb/INRdu5n+89/WndH9SCLYPlAk8yVApINaWhw4v0k40qbHMtjXt1BJpSO2yQUktlDMVZWvhqdkWFvhWo59Z7WGEQgcV0vImYgPt1GD9AhSr2YhkhQ3LmMowRkgSJIdtHymSuVZMsioWLKUkynYuBAicsSiFHpUVPUB29gBgiQoDGOlyO0IIrJC0Na4UWkqCojNy9tDjyz00RmMOP0FOztnEkhbZRm8AN954I9dff33P7a677jrmfp555hn27NnDpZdeyq//+q+vu+axxx5j69atfO5zn+OLX/wiV199NXv27OHgwVPbZ5Z7MBl9pYDP3vK6U7oPay0/OFTnSCNi50CJ80cqjPUVmWrEhF6IBCaaKUqAtiu8mRWRs9QYfnB4gR39bqBXlBrOGyxSDRUHojK2HFANnLssTUpiAxY7CYVu1gdA0MFHFIdodhKKJibA0LBBV825u+/Vb0IIfCmplVZVdxkXRDZCrdErW9SSegpbBsoIKZ0cjF2V1NS9+mc5OWc6xljMBnu5lsqUv/CFLzA2Ntbz3LG8jAcffJA9e/awefNmPv3pT+P7a0PNDz/8MB/5yEe4//772bbNqZJ84hOf4PWvfz2f/exn+dCHPrTRt3Tc5AbmNPI/Hz3CQwfnSbTlATXL684f5ZXbai5clhqGyiv6RoTLuwhAZ7pi2ljaieH7h+r8cGKRN1wwwiu39NEXKIQQDBQ8ArEcjvKVwqYxh9uwrexELcEZjcUEVBIzZJvdsFqfTPFlb5hKCoGHJmW58qtgE6C38kRUh7FTTYhbmLC6LFFjnFZa6KvuYDUhJFSHYXHGGRohEYNbT/KnnZNz5jE2NsbWrRv7W7jnnnv4wAc+wFVXXcXtt9/eMwJlJd/73veo1Wpd4wLg+z4XXXQRzz///Ek57qORG5jThLWWB/fPdee3JNryr8/O8KodA1y+tcazM8013kMgLd94ehopJDsGi7QTzRPTTVfCrC1KKvoC2c3dCCFIgGBF2Nf3FKk17G9a+n1nuDpWoBFUibvGSAAhBmE0rGiINDql6HnExqlHe1Ki1vE2ZKkfs2kHC/MtGq2Uku9yS83YsKkcMFIt9OSY5LaLsTMHsFETWRlC9I+clM85J+elgtUGazeWg7Hm+MqU/+Ef/oH3vve9/PIv/zIf+chH1vVclhgbG6NerzMxMdH1jowxPP300+uWNJ9McgNzGvGUoBL6+MqFtvzsQu4rl4eZakbdhg4SkQAAIABJREFUtda6zvvfuHwbg6WAj/9/T7MY9dYyhjYGelWJe07nFQYrtYKZ2DVjBkow1NhPwZdOEl8stVXa7r9XblFkCs1xaliINKAI6i1GKoWewV+yXEOlIUkzZiEyVAPJaNkj8DJRzRXbFkIiNm1fPr4VM2iEEPhBkA8VyzmzMWy8JP84KvcnJib4wz/8Q171qlfxB3/wB8zPz3ef832fWq3G1NQUpVKJcrnMz/3cz7F9+3Z+//d/n1tvvZVKpcKdd97JoUOHePOb33ycb+r4yP+CTxNCCHYOlSn4TgusFCh2Di6HmQZKftebWDop6x3NY0cWacYp//nc4Z7tjZc9NlcUk40O1truzcsELZeMS7OTdAUrPWEpK0N/e5JyWnf7EqI738ZKH7266kUI5ufnMGlKfUlZE2dsZpqdNe9zuBLiSUFfIKmGEl+5UFmj3TnqH5sxpmcGjbWWJMlzMjlnNhueBZPdNsp9991Hu93mgQce4DWveQ3XXXdd9/Y7v/M7AFx33XXceeedAJRKJf76r/+arVu38o53vIPf+I3f4NChQ9x9991s3779WLs6YXIP5iTQjFMkUAyO/nFqY2jGuiectRCl3eellJy7qcLzc21mWzGt7GLuCah3EoYrPm96+QiH51sMFRUXbXLG6YmZDocaKf0Fj7l2QifR3LCjAgisFJRFwpZAYBAUpaFpFaWk7sxIWIaw4hL0QoBQpInGW9Fpn6Qp35sXbI2bDPaVesJcUWrQxgAClVlHX0nOH+ljsdU77tha9xms3La1FkzKetGB9UIGurGI8ANkmMvH5Lz0scawwQiZK3zZIDfddBM33XTTMdesHHsCMDo6yp//+Z9veB8ni9zAnADGGP7h0SM0s876oaLPL14wumbdfDvha09O9vSvCKC2SupfSkmt6HOo7jyDrVU/S+C7MrL+gs/WLRUSFIsGKr6kpCwLUZqFriwDvgUvCy9JiYnbFKXzUYyFgu7gCacRLZIIG1ZAZaeBBblKwdn3PBSWwx3L4Mr8v7VYnfDstHFKyYHHaJZnUVIQ+oooSXu2FUUxIgxQSmE7Dczks2CtE8asbe0Rx+zpCUpT9v/3P6H5yMMAjPzXmxh63Zs28A3l5Lx4HFcVGZYNtsycUeQhshPgoUMLXeMCMNNOeHKqsWbdt348TSc1hJ7snkMDRZ+fP3dtM+dAKWBLf5FaQVHJqsMcltCTtI3CAKVsW1eM9VGU7vmygsvG+ro5jMD30V6xGzFLDPhJE/wiIBHNGUTUzMJrkEqPYJWBkVLyqs1lhDFMNCLndViLsIbYqm5epRmnLK7wyAqB3yPU6WUSOFGcYIzJjIsBLOgEb3GyZ79+EHT/PffNf6b12A9Ba9Caqa9+gejwgRf4dnJyXlw2KhPTlYs5C8k9mBOgEa0VEFrorM0dLGmHSSEoBwol4PXnj1D0JA/un2Oxk7JjoEit6FPvpCAE2/pD9Cr5iIFiQL0T004185EmkIJqMeDnd9UwxlAolpxYpBAYY+jECUb5PDDZZqaVsKVgGFaKWiFElcsUhMFoTSp8lOdTDpc9iEQbUq2R1lAthly3FWyaIGeeIogX6ZSHmSptduMCBIhMOdlab3n4WbFAK8u9rPRIjNGIVSEBoWN8TyGUtya5H08exibx8lrlkcxOEY7npc05L12s3qj/AhZzVl6Nz8K3dPrYOVDshrOWHyutWbelv8i+uRZSuAouIQTfeHqaZpx28zCPTzfoD30MbsyxrwTXbasSeqp7gVZSEmtLK8kS+FiaqWG8YJFA0m7ghUWE8lhodkiMJdGG3QNFnp5ts7+uuXZrP9bzUVLgYdgkY/ykyWxSpJMaBsohnSRloR1TUuCLrDxZKcTzP4C5QxggmDnMpsu2oTzV9cqEgE4UUwiDrkHxPEWa9hriONGoyjBeY5ruSDchsfOH8WpjIHtzLH2XXcX8t+7DxhFLs2kKO3af2JeXk3OKsYY1rQdHXXsWhscgD5GdEDsHy1w6XsWXziBcvX2A4craBPSrdwxy3qayC5FlF15tLV5mbJYeayYpxkKajU7eX48x1l2A02xg2GK86mJtrOtVzO6ncYdUm64opq8kvhRcuMkZvsenW0gpsQhSJBEu1BagaScabaxTScYZlyXJfRG3YfYgwmjXK9O3CV+6OTMr34O1Fr1Cbsb3PLx1JnPq0iCU+rPRyiHWC8FadHN+zdryRZey+b+9i+LuCyi/4mfY+YE/xaucWg2lnJwTJQ+R5R7MCfPysSovH6vy2JFF/vGRCUqBxxtfMc43n57ikYlFCr7i6h01RvsKHKp36I16rewLcVIuEieVby00Ys1CRxN6klgbmklzTbgJVpXQr3OeWpZbUFaXCidRBxs3QHhQHM5Kltc72Vc9tqZfZn2EcDNstNZrxlHLoa2k0/tX7Wb9P7TqlddSvfLaDe0zJ+elgLF21d/7MdaepePBcwNzEnhqqsHHv/k0sXYyLf/+/CzVoo8Ugkas+afHJvnZ3YNUAo9m7BSSpYB6rHsMRugppJsbhpKC4bJPYi1psjJf4QaVLV/fBUIsn8iLKQwVRaZn5mRajLU8Od0G4GWbSt39F5Im1WgGlVWYJc0OcvACtAVhLamBJcFk4RehOoxdnHZjketTLgZgXZky0O2nWS8s4HkeyYqqMs9TCKkQYQkbtbNXCmS5dpK+lZycFxdtLRt1THRuYHKOxoP75oizM8lYJwOTakvgie5jjdhQCSWv2l5jMdL0hYpD820emWqQGosvZbeXxBNw8WiFQMmsA753f550l2OZ3Q63IZTQMRBp2NQvKHmCxEAi4AcTDfoLigtHK9QKPrWSj0wiRGMBlZ3YEvDQxJ0OC203q6ZYBGlACQEY2H0l+uATBK1pKNeQrVlsUMwkyQVG+kQywApN4PeeWr7nIYXEGIOUApX1w6jqMDZqYU2KDIoILyAn52zAwIYNjDlLczC5gTkJVAted8wxOO9i9UTKQLkw171PTGIsFD3JlmqBZpQyXi0w3uf0jhc6MbPthCAr8bXgyoJX6niRCWEKp8DfiAVt7fYpBeyfXmBEtgixhMC1wwGRqhB4ynX1t+cQaYeGcHphS4k4gUW1ZjmHhMQopKmiPMVS0MxaQxjNO8l/69QBRNJGZseZ+H0gXbXceiglUao37SeEQBTKJ/T55+S8FDkuD+YsnfKaJ/lPAkOVgP6iq8ySAs4bLlNd0US5pRpS8CXTzbhrhKJUs/fgAh1t2dJXdCKSUlArBIyWfWz2X2p6MyKegNi4C3pqYan1ZHmgF7StZFqHmV/hSoBDG7mwmhDYYhXrFykUC8R43THJiSogdIIEAqERnQXMsuoM6uAjy3c6ja5EvwW09N3rxbEVDXJyflowNgtTb+B2HAMtzyjyK8FJoBFp/vP5wyxGKZ6UFDzJtloRTwoGSwHl0COQ8DffXx7usxQO6wuUK03O4mBSCowVTDZc30d/wSM1gqGCoOBJ5iPdk283OGOgxcpKLUG0Ql7fSs8Zg0waHwRID0+m2FI/HW3QOFmZ5S2AwkBYAiwy6UDS6XleNOeRuy7DGA1I+oTAk/KkilQaYzCZHI2UIhfAzDljyD2Y3MCcFIbKAYfrna7XYqxla63IYKk3n7AyjJYaNwp5MUp7RoFpY0ktXX2uVEPguZBYUUAgRbcEGUCJbO6LdsZmiYIw7n6h38XRIEvKa6yQoBNnJKTAE4p/n5Fc3meoquUyaKF8/MC9J+sp9MrQl5BQGUQoD6U81hYinzjGGDpR3PNYIcxVlnPODJa8k42uPRvJ/1JPApeNV6kECm0s2lh2D5XXGBeA/3LBaHfoVsFT/MpFo4Se5NHJOlGqSY3BWMP2aoAvBYGSFAPn28x2UhqxoegJCsp5EL6E0aL7VT9WEgTSfaFFBdWCj1WBMy5iqaFFQhKxGGsi7arEWhq+Py9pG8l36yHGL7kBYH6INzDePXYhFercVzqBTOUjBrcgR3ee0s81SdM1j2m9Vj0hJyfnpUnuwZwEpJT87O7hF1w32lfgLVdux1qL0a5c+eZX7UAjeHyqQZQadg+VGSj6XAB0kpTJxQ6xNjy8b5GDdTcvJvQkJV9y9dY+xouusdOXgs3l5d8LqYEolqumxYBG0DECHfQz1Yxppwbpw4Cy1KOUCcpUyzXCwKeoev0SUerHu+g1J/RZHQ/rRQ3O1lh1ztmHOY4Q2UY7/s80cgPzIpAkCSb7JZ5Yyz88NcdCJ8FY+P6hBf6Xi8cp+ZLJRZfz8KXgtTsH+OojE0ip2FQJEMCTsxELkWFHrYhJYpQXuGmUxqCjiKb1CHE9LUuNM63EYISlYyzlQFEKlBPDBGoFDyWgkxraSUQceNTKL540vucp4rhXs8xfRxUgJ+elSB4iyw3MaWfJe1liupVQj9LuCZYayyNHFnnZimFkSyXKv3DuMD+cbKyQm4FDjYQAyxaxH1MexHoFZNTAjzo8bcZR800uHylikbTihLYqYjM3wLI0m8aF3Iq+QsrlpslmnNJfCtYoB5wuPKXAt8RZg2YQ+Hn+JeeMITcwuYE5JRhj+KfHjzDZjAmU5BdfNtKjUdZJDT+cbNJKDJVgVRiKZWn71WwfKPLj+TaJtigpMNYSa8unvrOP/+saxZwukNiAkgkpeYaL+0toW2LBuuFgMpv74ubSWI41gEKIo6q2HJU0TdFZ3sTzfdqJpp2kKCGolkK8n8A4eJ6H5+Wnac6Zh2u03Og8mLOT/OfgKeBrT04x0XA9L53UcM+jE1mpreOBQw0mWymNxDDZjOkveHhS4EtBwZdcOl5lsNQbmhJAJfQZLgV4mcikEoKiJ9EIngm30/IqJCqkHtRYqGyh4EkqgaIvWB5dbK0lRCOxWRe/uwkgkFn5cebRKMmGvRejNWmSdPcRxzHNKEEbS6wNs42jj0zOyTkb2WgPzPF4Omca+U/D4yDVhlgbSlkjoc6aIL1VbftHGi4Z34pTAk/iSclcJ2WoFJBo250PA2AQDBYUr94xSKwtm6sFQk+SGstotUgrTlHZ5lNj6GjTM3bZWstbX7mVQhh2h4FZBJFeNg5LYwJaiaYceNSUQaQRHes0ZywgvYC2Fd1czZJdcdIuy79DjDFgDHKVV7Gmusu6ptBssgDGWlJj8FWeQ8n56eD4kvxwNo60zA3MBvnnH03wp//8OMbCZVtr3HTdDp6cbgKwe6jMK7fVuhf0ONF85aGD3YqnV2ypctPl2wDwlUAiesTtKqHPln6Xc7HW8r2D8zydbfucwSLPzbW7J2rJX9JcdiTa8sl/38f//ksXkGZOkgCq4YoBX9bi6YjtfgpECOsxqT061n39NZlQ9ARxKpxLv1KWZoVxSRamoF0HQAuBGtq+bGiEWNHICWDR1qw4Vkva6aAKBWRuZHJ+CshzMHmIbENMNyL+7GtPkGjX5zLVinh8qtENMD031+LgwnKX+7eemO4pp/3hwTrpihDZYMnv/lbxpaC/sGznDy9GPDvb6m77mdl2z8nXSixKOKMRpZqvP+FGDTdXzImxuGqxpXBVmqYUSbuhL2uWmjvdbcH4xEbgC4G0upt86S8u9/KYNO4aF7cTi54/3L0rmjOIuMXSfGa5OIWK29m2LGUlEALiKA+V5fx04Dr5N347G8k9mA0wvRjhScFST3kxUBhrM5Vhd7FvxC65HaWG+XXGJh9ZjNg15KGNJVSS8T6XYxFCkKywIM04fcGa+FqoeGa6SaItr945yL75Nv4qEcnEWP5t/wKLseYNu2uIlVlEC76wtMySiKYTy/QkFMMATymUlL2KyOna94Re0QiZRKikg23NAiA7iwyYlGj4XPCKGx0fk5Nz1mCOw4M5W/u7cgOzAbYPlfCVRAg3NGt2MUKtCB0JBKOVkGac8u3nZhmuBByYX/ZopIBtAy4EpqQg9CSdLJ4lhfNolhgo+mizrJ683oCx8WrIUCmgmTgP5YLRPlJtsmN0a0ue5LKxPp6ba3GkETGqUoRa/rqN8ChkxyGEE7tMrcWmpjt6oGQsxTA7tqDIGlY8JotVTNLpemZW+QirUZ06phxAppW2cvplTs7ZzPFpkZ3aY3mxyENkG6AUeHzqty7nlTsHOG+kwpuv2ckvnDfMpnLAUMnnNecMMVAKeGa6SWosm2sFCr77aKWALbUCaXYGCSG4aKzKYNGn5CvGq4Vu/gXg4EKHicUOnUQTp4ZE9xYw7q4VKPmKZrK8vSUvJEo1noCSJ+gL3P6314qoyedI9v4zadQhsYIFQrRQXbmZkudSKGrVxb8VJ91wlpQSNbB5OccSlFD9I921sjKAKA8ATpJGDu2AwW2oqIGMGm5ap1QEhXUMVU7OWYg5ztvZSO7BbJBtgyX+z1+7jEMzDW7/6ve4/18f462/eDFXnD/WXdMdeyokmwdK3ceVFDw2uUgj1gyXA142XOFlI87r2Dff5vHJBqN9IYOlAG0s7dgQpxGhLxko+PQHkmZiqIWKgYJHK87yJJkxKAeSQEGqBdVQMddJme0YRss+Skji/hotcyE6HHTHaZeNSCgtUqlj9rxoY9k316KdaIbK44z29QrQ2KSDWZxx73V4B8JfKrGuwcDmUyKEmZPzUuf4q8jOPnIDcxzUWxGvu/UrzC120MZy73ef5av/2xu55BynQ7ZzoMzkYsT5IxXmnpvFWFc1trVW5MnpJtpYDi20qXdSXrmtxg8O1Wknrp5sthVzwUgfm/sLSAGJMYRIqqHHXEczWPTYOVDqyvwPlTymWykDRUXRl27IlyeJtaUeGS7YVMh6WgTh4Bhx/whLzpAUtvvvNNX4WehMW1CsGOHsewgh+OGheeqdFAvMtGK0sWxeqnpLY/Tks9noZNDtOmr0XIS3HPbLyflpRHMcVWSn9EhePHIDcxx878kjdOIUnf3caMcp//OBZ7oGplb0uWbnEJONiAtG+phpRgyVA56fb5Fmr9HWVZ1dPFalky4XKxsLE4sdfCW4ZscgE5kRW0r4j5aDrnEBVylW8gQlfznvghD4CvpC2TUuZP/3lSTNtmWtC92lxpJojb9im4Hn4SnhkvyeItWma1yWjvNwvbNsYDqNVS3/Fhs1EN7ASfrUc3LOTPIczItgYIwx3HHHHXz5y1+mXq9zxRVX8OEPf5gdO3asu35ubo7bbruNf/mXf8Fay+te9zre//73Uy6f3jG7jxyu87n/OMK5V13A9KEZDjx1iNBXxELwub37kEJw7Y4BzttUoS/02D20fHxHGhGNFWXEgZJ4ShCnhoXIiVyGnptXP9NJAIGnJDsGCkw1OkTaEmfGZuU44r5ArZswT1adra5cee17UlhG2wfwmq4xdLY4zlxhkOG+ImFWQbaeuktPxZpUS9ozGWJ5/kxOzk8xp7KKrNFocPvtt3P//fczNzfHrl27eMc73sH1119/1Nd89rOf5Ytf/CJTU1Oce+65vPe97+Xqq68+vh0fJ6c9yf/JT36Su+++m9tuu40vfelLKKV429veRhRF665/5zvfyb59+/jc5z7HHXfcwbe//W0+9KEPndZjXuwk/NG9jzHXSVGeYtOWIbbsGGHXeI3h7cN0UkMr0XzzxzPMtOI1r79mx2BXCsaTgmt3DiIFLEQJOuukj1LDfDYR05NOBma6GfPMVB0B7JvvdPtwAIzRFAPZ+wVaS6oNndTSXNEHA9BOV953CgQDjX14Jup2xAy2D4OOmay3u9I2AtjR79SbpYvCsb22LGMjilUIyt2ZMyIsIwp9J/07yMk50ziVfTC33nor3/zmN7ntttv4u7/7O2644Qb27NnDd77znXXX/8Vf/AW33347v/d7v8c999zDZZddxs0338y+fftOxls9KqfVg4njmDvvvJNbbrmFn/3ZnwXg4x//ONdddx333nsvb3zjG3vWP/TQQ3z3u9/lH//xHzn33HMBuO2223jrW9/Ke97zHjZv3nxajvvJqQYAnUaDJIop12q8+pXncOnWGhPNhP6yj7WWw4dn+I8S/NzFOzg43+b+Jyc5f7jMJVtqvOHCUTqpQQloJ4YnJhfoJAYpQClJagxSqm6ZrxObNMRa8MyRea7c2s8jB6eotxLOHSpwwdYRhBAoASKTrJntaPoCyY5+H2Mh0QaDoN7R1KOESiBREgLhoRT4aRsQGC9EGA0mIUxatMOA6cUWUZLgKQ9PSS4cDBHC4Hse3gqnyViLqW3GJolzXvwAkZVW20weRmhDmrTxvAJeuHYQW05OzsaZmprivvvu49Of/jTXXnstADfffDPf+c53+MpXvsI111zTs77VavGZz3yGd7/73fzKr/wKAB/84AfZu3cvDz74INu3bz9lx3paDcxjjz1Gq9XqccsqlQoXXXQRe/fuXWNg9u7dy9DQUNe4AFxxxRUIIdi7d2/3wzqV/NMjE3z6357lqb0P8eOHHkZIQVguM3/9DXz7sSmkEAxVPB79xn1MTc7yMSyv/4WrKb/8UqoFn92bKvzHoTqBJyn6kiOLkYsmZXmQxFgmm65bf8eKyjMLKCl5xZZa937JC9i9CfpKJVJj8eVSmTLMtVIibYnaLhQXKDfD3lqnfebkY3yemu3QTGKshVcGBYoj20C6OmVVP0wYVogNdDQgPXRWcZYAVdvGjy22WHPbjWKSVDvPCFfm7NkEIdyUzUaUQhrRv3gAlRUBNPvGKA+NnvLvLSfnxeZUhciKxSKf+cxnuPzyy3seF0KwsLCwZv3evXtptVq84Q1v6D4mpeSee+7Z+E5/Qk6rgTly5AgAo6O9F5iRkREOHz68Zv3k5CRjY2M9jwVBwMDAABMTE2vW1+t16vV6z2MHDx4EWHf9C9FJDP/9nx6msdjg+b0PIJeGhCUtnn/w3xh92cvRwCM/fJrpgwe6c17u/edvcrUfcuNrLqQ+PdHNmzRXiFy6uTCWyUaHubbriG/PSobLIQiIEkM1VD26YAB+JaDpz7v5LZ7Ek5BozUxnWQTTWkuglntajLWESvD4tOXgYtQ9mR/rDxgzUyyJ7FksSX0Gay2NxLi+mOXWSSbRVGkj1QyiVKXZWQ4HWuvCZ0vqBhanJF1sTNBM28tbmZhkpnl+Ptcl5yXJ0nXiZIzmbqmNy/VHmaLteteparVKtVrt3q9UKrz2ta/tWfPwww/zwAMP8MEPfnDN65977jkqlQrPPfccv/d7v8czzzzD7t27efe7373GSJ1sTquBabfbgDMSKwmCgDhem7tot9tr1i6tXy9nc9ddd3HHHXesu+8bb7zxJznkLltXP/D4gzQe/zIAIbBl1dP77v53Pnr3Ce0yJyfnRWJqauqohUcvRKVSob+/n72s9SaORRiG616n9uzZw+/+7u8e9XXPPPMMe/bs4dJLL+XXf/3X1zzfaDRIkoRbb72V97znPWzdupW//du/5aabbuKrX/0q55133nEd5/FwWg1MoeAa9OI47jEccRxTKpXWXb+e4Tna+je/+c286U1vWrN2//797Ny5E3WCKr4TExPceOONfOELX1jjWeWcevLP/8Xlp+Hz11ozNTXFxRdf/BNvo1arcd9999FoNI7rdevJQgE93stqHnzwQfbs2cPmzZv59Kc/je+v7T/zfZ8oinj/+9/Pz//8zwPwx3/8xzz00EP8zd/8DX/8x398XMd5PJxWAzM+Pg640FelUuk+Pjk52ZNnWWJsbIzJycmex+L4/2/v3oOiKv8Hjr/XhEog0PASWWjWWRUEIcQsFVM0SlNQNO9MU3mXJLsoKkkiVgqCQKmzhqZOjTbk4CUscLRpCgmyUssbZoLWqrHiBRhwOb8/+HGmdZGwL8sSfl4z/LHPOefZDw/sfvZ5ztnzqcRkMtX5D37zVLLWI4888r+GbhVX585WcxrRRGT87aulj/+/nbn8nZubG25ubo0Qza1lZmYSHR1NYGAga9assXhP/bva90pFUbQ2nU7Ho48+SnFxsU1jbNKF8O7du+Ps7ExeXp7Wdu3aNX755RcCAwOt9u/Tpw8XL17k9OnTWlt+fj4AAQEBtg9YCCGaoZ07d/Lmm2/y7LPPsm7dulsmF6h5r9TpdBw+fFhrU1WVU6dO2fQKMmjiGYyjoyOTJ09m9erVuLu707lzZxISEujYsSPDhg3DbDZTUlKCi4sL99xzD76+vvj7+zN//nxiY2OpqKggJiaGUaNGWV0oIIQQd4I///yTJUuW0LdvX9544w0uX76sbXNwcMDNzY2LFy/Spk0bnJyceOCBBxgzZgzLly/n3nvvxdPTky1btnD27FmSk5NtGmuTf5M/MjISs9lMTEwM5eXlPP744xgMBhwdHSkuLmbIkCGsWLGC0aNHo9PpSE1NJTY2loiICBwdHXnmmWeIjo5u6rCFEKJZ+PLLLykvLyc3N5cBAwZYbPP39+eTTz6hf//+FhcHxMbGkpKSQkxMDCaTiZ49e5Kenl7nqYnGpFOlvGCDXblyhU2bNhEREVHviTdhGzL+9iXjL26XJBghhBA2Id92E0IIYROSYIQQQtiEJJgGOn36NHq93upn+/bt9g6tRVu3bh0TJkywaCsuLmb69On4+/vz5JNPsnLlSm7cuGGnCFu2usY/ISGhzteC/A3EzaTgWAMdP34cZ2dnsrKyLNpdXOTW9LaydetWVq9ejZ+fn9ZWWVnJSy+9RNeuXfn0008pKioiOjqa1q1bExUVZcdoW566xh9qXgvjxo0jMjLSor11a3k7EZbkP6KBTpw4Qbdu3Wjfvr29Q2nxjEYjb7/9NgcPHqRr164W2/bu3cu5c+fYtm0brq6uKIrC66+/Tnx8PDNnztRuRyT+vfrGH2peC08//bS8FsQ/kiWyBjp+/DjdunWzdxh3hKNHj+Lk5ERmZia+vr4W2/Lz8+nRoweurq5aW9++fSkrK+Po0aNNHWqLVN/4X7lyhT/++MPm358QLYPMYBroxIkTeHp6Mn78eM6ePUuXLl2YNWsW/fv3t3doLc7gwYO1m/LdzGg0Wt2ffbI0AAAJyklEQVSHrkOHDsC/K8kgrNU3/idOnABqblWyaNEiqqqqCAwMZP78+drfQYhaMoNpgLKyMoqLi7l69SpRUVGsX78eb29vXn75Zb799lt7h3dHqaioqLPcA3DLstui8dQmGGdnZ9asWcM777zDyZMnmTJlilaOQ4haMoNpgDZt2lBQUICDg4P2Zubt7U1hYSEGg0ErWypsr64SDrWP6yrhIBrXhAkTGD58uLZE2b17dxRFISgoiOzsbJ5//nk7RyiaE5nBNJCTk5PVJ2dFUTh//rydIroz1VXCofZxS61R0pzodDqL819QU6HWzc2tzqq04s4mCaYBDh06hJ+fHz///LNF+5EjR2xaDU5Y69OnD7/++qtFaeyDBw/i5OREz5497RjZnSEuLo7Q0FCLtqKiIkwmk5z4F1YkwTSAt7c3nTt3ZsmSJRQUFFBYWEhcXByHDh1i5syZ9g7vjhIcHEzHjh2Jiori2LFj7Nu3j4SEBF588cU6y2uLxhUSEsLJkyeJi4vjzJkz5OXlMWfOHHx8fBg0aJC9wxPNjCSYBnBwcMBgMKDX64mMjCQ0NJQjR47w0UcfyafmJnb33XdjMBgAGDduHDExMbzwwgvMnj3bzpHdGQICAli7di2HDx8mLCyMuXPn4uXlxfr162nVSt5OhCW5m7IQQgibkI8cQgghbEISjBBCCJuQBCOEEMImJMEIIYSwCUkwQgghbEISjBB2JBdxipZMEoxoVEajkYiICHx8fAgMDOTMmTNNWvlTr9ezevVqmz/PlClTrCo93iwjIwO9Xs/vv/8OQEpKikXlx1OnTjFhwgSpBClaLLnZpWhU6enp5OXlER8fT6dOnfDw8GDr1q106dLF3qE1qsWLF9/2MWPGjKFfv35a5ccvvviCQ4cONXZoQjQbkmBEoyotLcXd3Z2wsDCtLSAgwI4R2YZer7/tYzw8PPDw8LBBNEI0T7JEJhrN4MGDycjI4MKFC+j1ehYsWEBxcbG2RGY2mxk7dix9+/bl0qVL2nFxcXF4eXlpNxOtrq7GYDAwbNgwvL29CQ4OZsOGDVbnK/bt28fo0aPx8fFhxIgRfP/99w2KMzs7m0mTJuHn54e3tzchISFs3rzZYp/r168THx9PUFAQvr6+hIaGkpWVpW2/eYmssrKSlStXMmDAAHr37s28efO4evWqRZ9/XyJbsGABqampAHh5eZGRkcGYMWMIDw+3infevHkWCVuI/wpJMKLRJCcnM3DgQNq1a8fWrVuZMWOGxfa77rqL9957j4qKCpYvXw7Ad999x5YtW5g7dy4+Pj4ALFu2jMTERIYNG0ZaWhrDhw9n1apVrFy5UuvrwIEDzJo1Cw8PD5KTkwkPD2fOnDn/GOP+/fuZPXs2jz32GCkpKSQlJfHggw8SFxdHfn4+UJPgXnnlFT777DOmTp1KamoqPXv2ZN68eRw4cKDOfhcsWMDmzZuZMmUKSUlJtG7d2iLem82YMYPRo0cDsHnzZoKCghg7diyHDx+msLBQ26+0tJScnBxtXyH+U1QhGtFbb72lDhgwQHtcVFSkKoqibtu2TWvbuHGjqiiKumfPHnXQoEHqpEmTVLPZrKqqqv7222+qXq9XU1JSLPr98MMP1R49eqjnz59XVVVVx40bp44cOVKtrq7W9tmxY4eqKIqamJh4y/jWrVunRkVFWbSVlJSoiqKoaWlpqqqq6v79+1VFUdTdu3db7BcREaHGxcWpqqqqkydPVsePH6+qqqqeOnVKVRRFTU9Pt9pfURT1zJkzqqqq6po1a1RFUdSqqqo6H1+9elX19fVVV61apfWxZcsW1cvLSzWZTLf8nYRormQGI5rc1KlTCQwM5LXXXuPatWu8//772p14c3NzUVWV4OBgbty4of0MHToUs9lMbm4uFRUV/PTTTwQHB6PT6bR+n3vuuX+8o++0adNITEykoqKCY8eOkZWVpd2dubYyZn5+Pq1atWLo0KEWx27cuJFFixZZ9Vm7NBccHGzRPmLEiNsaF2dnZ0JCQsjMzKS6uhqouRJtyJAhuLm53VZfQjQHcpJfNDmdTkdoaCh5eXl0797d4sS3yWQCYNSoUXUeazQaKS0tRVVV2rVrZ7HNwcHBqu1mJpOJ2NhYvvrqK1RVxdPTU7sIQf3/czwmkwlXV1ccHBwa9PtcvnwZwOq5O3To0KDj/y48PJzPP/+c3Nxc3N3dOXLkCK+++upt9yNEcyAJRjS5kpISEhMT6dGjB3l5eWzfvp2xY8cCcN999wE1lzu7uLhYHduhQwfatm1Lq1atuHjxosW26upqSktL633u+fPnU1hYSHp6Or1798bR0ZHy8nK2bdum7ePi4sKVK1e4ceOGdkkxwPHjxykvL6d3794WfdYmlkuXLvHwww9r7bXJ8nYEBATQtWtX9uzZg7u7Ox07dqR///633Y8QzYEskYkmt3TpUqqqqjAYDIwcOZIVK1ZQXFwM1JREBvjrr7/o1auX9lNWVsaqVau4cOECjo6OBAQEkJWVhdls1vo9cOAAVVVV9T53QUEBwcHBBAYGahUwa0/c185gAgICMJvN7Nu3z+LY2NhYEhISrPrs168fOp2O3bt3W7Tn5OTUG8utlvPCw8PJzs4mOzubsLAwKeQl/rNkBiOa1M6dO9m7dy8rVqzA3d2d6OhovvnmGxYuXMjHH3+MoiiEhoYSExNDUVERvr6+nD17luTkZNzd3bXvn0RFRTF16lSmTZvGxIkTMRqNpKam/uOylo+PD7t27cLLy4tOnTrxww8/YDAY0Ol0lJWVATBo0CD8/PxYtGgRRqMRT09PsrKy+PHHH9mwYYNVnw899BATJ04kLS2NqqoqfH19ycnJ4euvv643ltrZ2q5du3jiiSfo1KkTAGFhYSQlJWEymUhLS7vtMRaiuZCPRqLJGI1Gli1bxlNPPaVddtu2bVuio6PJy8tj06ZNAMTHxzN9+nR27NjB9OnT+eCDDxg6dCgbN27UZh3+/v5s2LCB69evExUVRXp6OkuWLMHV1bXeGN599138/PyIj48nMjKS/fv3s3TpUgYOHEhBQQFQczm1wWBgxIgRrF27lsjISE6ePMnatWvp169fnf0uXryYWbNmkZGRwdy5czl37hwLFy6sN5bhw4fj7e3N4sWLyczM1Nrvv/9+evXqRZ8+ffD09GzY4ArRDEnJZCGamZKSEoKCgli+fDkjR460dzhC/GuyRCZEM3Hs2DGys7PJycmhffv2hISE2DskIf4nskQmRDNRWVlJeno6ZWVlJCUlacuBQvxXyRKZEEIIm5AZjBBCCJuQBCOEEMImJMEIIYSwCUkwQgghbEISjBBCCJuQBCOEEMIm/g8J6hlGmftyrQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('ticks')\n",
    "sns.set_context(\"notebook\", font_scale= 1.4)\n",
    "\n",
    "plt.figure(figsize=(6,5))\n",
    "cm = plt.cm.get_cmap('RdBu')\n",
    "sc = plt.scatter(df['fixed acidity'], df['citric acid'], c=df['pH'], vmin=2.6, vmax=4, s=15, cmap=cm)\n",
    "bar = plt.colorbar(sc)\n",
    "bar.set_label('pH', rotation = 0)\n",
    "plt.xlabel('fixed acidity')\n",
    "plt.ylabel('citric acid')\n",
    "plt.xlim(4,18)\n",
    "plt.ylim(0,1)\n",
    "print('Figure 12: pH with Fixed Acidity and Citric Acid')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 总结\n",
    "\n",
    "对于红酒品质影响最重要的三个特征：酒精度、挥发性酸含量和柠檬酸。对于品质高于7的优质红酒和品质低于4的劣质红酒，直观上线性可分，对于品质为5和6的红酒很难进行线性区分。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据建模\n",
    "\n",
    " * 线性回归\n",
    " * 集成算法\n",
    " * 提升算法\n",
    " * 模型评估\n",
    " * 确定模型参数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.数据集切分\n",
    "\n",
    "1.1 切分特征和标签\n",
    "\n",
    "1.2 切分训练集个测试集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>alcohol</th>\n",
       "      <th>quality</th>\n",
       "      <th>sweetness</th>\n",
       "      <th>total acid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.998</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "      <td>dry</td>\n",
       "      <td>8.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.098</td>\n",
       "      <td>25.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.997</td>\n",
       "      <td>3.20</td>\n",
       "      <td>0.68</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "      <td>dry</td>\n",
       "      <td>8.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.04</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.092</td>\n",
       "      <td>15.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0.997</td>\n",
       "      <td>3.26</td>\n",
       "      <td>0.65</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "      <td>dry</td>\n",
       "      <td>8.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.2</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.56</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.075</td>\n",
       "      <td>17.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.998</td>\n",
       "      <td>3.16</td>\n",
       "      <td>0.58</td>\n",
       "      <td>9.8</td>\n",
       "      <td>6</td>\n",
       "      <td>dry</td>\n",
       "      <td>12.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.998</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "      <td>dry</td>\n",
       "      <td>8.10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \\\n",
       "0            7.4              0.70         0.00             1.9      0.076   \n",
       "1            7.8              0.88         0.00             2.6      0.098   \n",
       "2            7.8              0.76         0.04             2.3      0.092   \n",
       "3           11.2              0.28         0.56             1.9      0.075   \n",
       "4            7.4              0.70         0.00             1.9      0.076   \n",
       "\n",
       "   free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \\\n",
       "0                 11.0                  34.0    0.998  3.51       0.56   \n",
       "1                 25.0                  67.0    0.997  3.20       0.68   \n",
       "2                 15.0                  54.0    0.997  3.26       0.65   \n",
       "3                 17.0                  60.0    0.998  3.16       0.58   \n",
       "4                 11.0                  34.0    0.998  3.51       0.56   \n",
       "\n",
       "   alcohol  quality sweetness  total acid  \n",
       "0      9.4        5       dry        8.10  \n",
       "1      9.8        5       dry        8.68  \n",
       "2      9.8        5       dry        8.60  \n",
       "3      9.8        6       dry       12.04  \n",
       "4      9.4        5       dry        8.10  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fixed acidity           0\n",
       "volatile acidity        0\n",
       "citric acid             0\n",
       "residual sugar          0\n",
       "chlorides               0\n",
       "free sulfur dioxide     0\n",
       "total sulfur dioxide    0\n",
       "density                 0\n",
       "pH                      0\n",
       "sulphates               0\n",
       "alcohol                 0\n",
       "quality                 0\n",
       "sweetness               0\n",
       "total acid              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 数据预处理工作\n",
    "\n",
    "# 检查数据的完整性\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>alcohol</th>\n",
       "      <th>quality</th>\n",
       "      <th>sweetness</th>\n",
       "      <th>total acid</th>\n",
       "      <th>dry</th>\n",
       "      <th>semi-dry</th>\n",
       "      <th>semi-sweet</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.998</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "      <td>dry</td>\n",
       "      <td>8.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.098</td>\n",
       "      <td>25.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.997</td>\n",
       "      <td>3.20</td>\n",
       "      <td>0.68</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "      <td>dry</td>\n",
       "      <td>8.68</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.04</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.092</td>\n",
       "      <td>15.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0.997</td>\n",
       "      <td>3.26</td>\n",
       "      <td>0.65</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "      <td>dry</td>\n",
       "      <td>8.60</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.2</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.56</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.075</td>\n",
       "      <td>17.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.998</td>\n",
       "      <td>3.16</td>\n",
       "      <td>0.58</td>\n",
       "      <td>9.8</td>\n",
       "      <td>6</td>\n",
       "      <td>dry</td>\n",
       "      <td>12.04</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.998</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "      <td>dry</td>\n",
       "      <td>8.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \\\n",
       "0            7.4              0.70         0.00             1.9      0.076   \n",
       "1            7.8              0.88         0.00             2.6      0.098   \n",
       "2            7.8              0.76         0.04             2.3      0.092   \n",
       "3           11.2              0.28         0.56             1.9      0.075   \n",
       "4            7.4              0.70         0.00             1.9      0.076   \n",
       "\n",
       "   free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \\\n",
       "0                 11.0                  34.0    0.998  3.51       0.56   \n",
       "1                 25.0                  67.0    0.997  3.20       0.68   \n",
       "2                 15.0                  54.0    0.997  3.26       0.65   \n",
       "3                 17.0                  60.0    0.998  3.16       0.58   \n",
       "4                 11.0                  34.0    0.998  3.51       0.56   \n",
       "\n",
       "   alcohol  quality sweetness  total acid  dry  semi-dry  semi-sweet  \n",
       "0      9.4        5       dry        8.10    1         0           0  \n",
       "1      9.8        5       dry        8.68    1         0           0  \n",
       "2      9.8        5       dry        8.60    1         0           0  \n",
       "3      9.8        6       dry       12.04    1         0           0  \n",
       "4      9.4        5       dry        8.10    1         0           0  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将object类型的数据转化为int类型\n",
    "\n",
    "sweetness = pd.get_dummies(df['sweetness'])\n",
    "\n",
    "df = pd.concat([df,sweetness],axis = 1)\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop('sweetness',axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = df['quality']\n",
    "features = df.drop('quality',axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练特征的规模: (1119, 15)\n",
      "训练标签的规模: (1119,)\n",
      "测试特征的规模: (480, 15)\n",
      "测试标签的规模: (480,)\n"
     ]
    }
   ],
   "source": [
    "# 对原始数据集进行切分\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "train_features,test_features,train_labels,test_labels = train_test_split(features,labels,test_size = 0.3,random_state = 0)\n",
    "\n",
    "print('训练特征的规模:',train_features.shape)\n",
    "print('训练标签的规模:',train_labels.shape)\n",
    "print('测试特征的规模:',test_features.shape)\n",
    "print('测试标签的规模:',test_labels.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None,\n",
       "         normalize=False)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "LR = LinearRegression()\n",
    "LR.fit(train_features,train_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([5.75571751, 4.82871294, 6.59036909, 5.36644662, 5.89993476])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction = LR.predict(test_features)\n",
    "prediction[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "线性回归模型的预测误差: 0.6332278109768246\n"
     ]
    }
   ],
   "source": [
    "#对模型进行评估\n",
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "RMSE = np.sqrt(mean_squared_error(test_labels,prediction))\n",
    "\n",
    "print('线性回归模型的预测误差:',RMSE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\taon1\\Anaconda3\\lib\\site-packages\\sklearn\\preprocessing\\data.py:645: DataConversionWarning: Data with input dtype uint8, float64 were all converted to float64 by StandardScaler.\n",
      "  return self.partial_fit(X, y)\n",
      "C:\\Users\\taon1\\Anaconda3\\lib\\site-packages\\sklearn\\base.py:464: DataConversionWarning: Data with input dtype uint8, float64 were all converted to float64 by StandardScaler.\n",
      "  return self.fit(X, **fit_params).transform(X)\n",
      "C:\\Users\\taon1\\Anaconda3\\lib\\site-packages\\sklearn\\preprocessing\\data.py:645: DataConversionWarning: Data with input dtype uint8, float64 were all converted to float64 by StandardScaler.\n",
      "  return self.partial_fit(X, y)\n",
      "C:\\Users\\taon1\\Anaconda3\\lib\\site-packages\\sklearn\\base.py:464: DataConversionWarning: Data with input dtype uint8, float64 were all converted to float64 by StandardScaler.\n",
      "  return self.fit(X, **fit_params).transform(X)\n"
     ]
    }
   ],
   "source": [
    "# 对训练特征和测试特征做标准化处理，观察结果\n",
    "\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "train_features_std = StandardScaler().fit_transform(train_features)\n",
    "test_features_std = StandardScaler().fit_transform(test_features)\n",
    "\n",
    "\n",
    "LR = LinearRegression()\n",
    "LR.fit(train_features_std,train_labels)\n",
    "prediction = LR.predict(test_features_std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "线性回归模型预测误差: 0.6351421172394885\n"
     ]
    }
   ],
   "source": [
    "#观察预测结果误差\n",
    "\n",
    "RMSE = np.sqrt(mean_squared_error(prediction,test_labels))\n",
    "\n",
    "print('线性回归模型预测误差:',RMSE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "对比原始数据与做了标准化处理的数据，其结果相差不大，所以该数据集不需要做标准化处理。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 集成算法：随机森林"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "随机森林模型的预测误差: 0.6142407237123461\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\taon1\\Anaconda3\\lib\\site-packages\\sklearn\\ensemble\\forest.py:246: FutureWarning: The default value of n_estimators will change from 10 in version 0.20 to 100 in 0.22.\n",
      "  \"10 in version 0.20 to 100 in 0.22.\", FutureWarning)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "RF = RandomForestRegressor()\n",
    "RF.fit(train_features,train_labels)\n",
    "\n",
    "prediction = RF.predict(test_features)\n",
    "\n",
    "RMSE = np.sqrt(mean_squared_error(prediction,test_labels))\n",
    "print('随机森林模型的预测误差:',RMSE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method BaseEstimator.get_params of RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,\n",
       "           max_features='auto', max_leaf_nodes=None,\n",
       "           min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "           min_samples_leaf=1, min_samples_split=2,\n",
       "           min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=None,\n",
       "           oob_score=False, random_state=None, verbose=0, warm_start=False)>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RF.get_params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=3, error_score='raise-deprecating',\n",
       "       estimator=RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,\n",
       "           max_features='auto', max_leaf_nodes=None,\n",
       "           min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "           min_samples_leaf=1, min_samples_split=2,\n",
       "           min_weight_fraction_leaf=0.0, n_estimators='warn', n_jobs=None,\n",
       "           oob_score=False, random_state=None, verbose=0, warm_start=False),\n",
       "       fit_params=None, iid='warn', n_jobs=-1,\n",
       "       param_grid={'n_estimators': [100, 200, 300, 400, 500], 'max_depth': [3, 4, 5, 6], 'min_samples_split': [2, 3, 4]},\n",
       "       pre_dispatch='2*n_jobs', refit=True, return_train_score='warn',\n",
       "       scoring='neg_mean_squared_error', verbose=0)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "param_grid = {'n_estimators':[100,200,300,400,500],\n",
    "             'max_depth':[3,4,5,6],\n",
    "             'min_samples_split':[2,3,4]}\n",
    "\n",
    "RF = RandomForestRegressor()\n",
    "\n",
    "grid = GridSearchCV(RF,param_grid = param_grid,scoring = 'neg_mean_squared_error',cv = 3,n_jobs = -1)\n",
    "grid.fit(train_features,train_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'max_depth': 6, 'min_samples_split': 2, 'n_estimators': 300}"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=6,\n",
       "           max_features='auto', max_leaf_nodes=None,\n",
       "           min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "           min_samples_leaf=1, min_samples_split=2,\n",
       "           min_weight_fraction_leaf=0.0, n_estimators=300, n_jobs=None,\n",
       "           oob_score=False, random_state=None, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RF = RandomForestRegressor(n_estimators = 300,min_samples_split = 2,max_depth = 6)\n",
    "\n",
    "RF.fit(train_features,train_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "随机森林模型的预测误差: 0.6153424077044428\n"
     ]
    }
   ],
   "source": [
    "prediction = RF.predict(test_features)\n",
    "\n",
    "RF_RMSE = np.sqrt(mean_squared_error(prediction,test_labels))\n",
    "print('随机森林模型的预测误差:',RF_RMSE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 集成算法：GBDT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GBDT模型的预测误差: 0.6232190669430115\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "\n",
    "GBDT = GradientBoostingRegressor()\n",
    "GBDT.fit(train_features,train_labels)\n",
    "\n",
    "gbdt_prediction = GBDT.predict(test_features)\n",
    "gbdt_RMSE = np.sqrt(mean_squared_error(gbdt_prediction,test_labels))\n",
    "\n",
    "print('GBDT模型的预测误差:',gbdt_RMSE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method BaseEstimator.get_params of GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,\n",
       "             learning_rate=0.1, loss='ls', max_depth=3, max_features=None,\n",
       "             max_leaf_nodes=None, min_impurity_decrease=0.0,\n",
       "             min_impurity_split=None, min_samples_leaf=1,\n",
       "             min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
       "             n_estimators=100, n_iter_no_change=None, presort='auto',\n",
       "             random_state=None, subsample=1.0, tol=0.0001,\n",
       "             validation_fraction=0.1, verbose=0, warm_start=False)>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "GBDT.get_params"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 随机参数搜索模型 RandomizedSearchCV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "\n",
    "GBDT = GradientBoostingRegressor()\n",
    "\n",
    "#设置GBDT算法的部分参数\n",
    "learning_rate = [0.01,0.1,1,10]\n",
    "max_depth = [3,4,5,6]\n",
    "min_samples_leaf = [1,2,4]\n",
    "min_samples_split = [2,5,10]\n",
    "n_estimators = [int(x) for x in range(100,600,100)]\n",
    "\n",
    "random_params_group = {'learning_rate':learning_rate,\n",
    "                      'max_depth':max_depth,\n",
    "                      'min_samples_leaf':min_samples_leaf,\n",
    "                      'min_samples_split':min_samples_split,\n",
    "                      'n_estimators':n_estimators}\n",
    "\n",
    "random_model = RandomizedSearchCV(GBDT,param_distributions = random_params_group,n_iter = 100,\n",
    "                                 scoring = 'neg_mean_squared_error',verbose = 2,n_jobs = -1,cv = 3,random_state = 0)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>alcohol</th>\n",
       "      <th>total acid</th>\n",
       "      <th>dry</th>\n",
       "      <th>semi-dry</th>\n",
       "      <th>semi-sweet</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1119.000</td>\n",
       "      <td>1119.000</td>\n",
       "      <td>1119.000</td>\n",
       "      <td>1119.000</td>\n",
       "      <td>1119.000</td>\n",
       "      <td>1119.000</td>\n",
       "      <td>1119.000</td>\n",
       "      <td>1119.000</td>\n",
       "      <td>1119.000</td>\n",
       "      <td>1119.000</td>\n",
       "      <td>1119.000</td>\n",
       "      <td>1119.000</td>\n",
       "      <td>1119.000</td>\n",
       "      <td>1119.000</td>\n",
       "      <td>1119.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8.341</td>\n",
       "      <td>0.530</td>\n",
       "      <td>0.272</td>\n",
       "      <td>2.555</td>\n",
       "      <td>0.088</td>\n",
       "      <td>16.248</td>\n",
       "      <td>47.448</td>\n",
       "      <td>0.997</td>\n",
       "      <td>3.309</td>\n",
       "      <td>0.661</td>\n",
       "      <td>10.410</td>\n",
       "      <td>9.143</td>\n",
       "      <td>0.918</td>\n",
       "      <td>0.076</td>\n",
       "      <td>0.006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.742</td>\n",
       "      <td>0.185</td>\n",
       "      <td>0.195</td>\n",
       "      <td>1.494</td>\n",
       "      <td>0.050</td>\n",
       "      <td>10.745</td>\n",
       "      <td>34.263</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.155</td>\n",
       "      <td>0.179</td>\n",
       "      <td>1.065</td>\n",
       "      <td>1.831</td>\n",
       "      <td>0.275</td>\n",
       "      <td>0.265</td>\n",
       "      <td>0.079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.700</td>\n",
       "      <td>0.120</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.900</td>\n",
       "      <td>0.012</td>\n",
       "      <td>1.000</td>\n",
       "      <td>6.000</td>\n",
       "      <td>0.990</td>\n",
       "      <td>2.740</td>\n",
       "      <td>0.370</td>\n",
       "      <td>8.400</td>\n",
       "      <td>5.320</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7.100</td>\n",
       "      <td>0.390</td>\n",
       "      <td>0.090</td>\n",
       "      <td>1.900</td>\n",
       "      <td>0.070</td>\n",
       "      <td>8.000</td>\n",
       "      <td>22.000</td>\n",
       "      <td>0.996</td>\n",
       "      <td>3.210</td>\n",
       "      <td>0.550</td>\n",
       "      <td>9.500</td>\n",
       "      <td>7.860</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7.900</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.260</td>\n",
       "      <td>2.200</td>\n",
       "      <td>0.079</td>\n",
       "      <td>14.000</td>\n",
       "      <td>38.000</td>\n",
       "      <td>0.997</td>\n",
       "      <td>3.310</td>\n",
       "      <td>0.620</td>\n",
       "      <td>10.100</td>\n",
       "      <td>8.750</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>9.300</td>\n",
       "      <td>0.640</td>\n",
       "      <td>0.420</td>\n",
       "      <td>2.600</td>\n",
       "      <td>0.090</td>\n",
       "      <td>22.000</td>\n",
       "      <td>63.000</td>\n",
       "      <td>0.998</td>\n",
       "      <td>3.400</td>\n",
       "      <td>0.730</td>\n",
       "      <td>11.033</td>\n",
       "      <td>10.110</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>15.900</td>\n",
       "      <td>1.580</td>\n",
       "      <td>1.000</td>\n",
       "      <td>15.500</td>\n",
       "      <td>0.611</td>\n",
       "      <td>72.000</td>\n",
       "      <td>289.000</td>\n",
       "      <td>1.004</td>\n",
       "      <td>4.010</td>\n",
       "      <td>2.000</td>\n",
       "      <td>14.900</td>\n",
       "      <td>16.910</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       fixed acidity  volatile acidity  citric acid  residual sugar  \\\n",
       "count       1119.000          1119.000     1119.000        1119.000   \n",
       "mean           8.341             0.530        0.272           2.555   \n",
       "std            1.742             0.185        0.195           1.494   \n",
       "min            4.700             0.120        0.000           0.900   \n",
       "25%            7.100             0.390        0.090           1.900   \n",
       "50%            7.900             0.520        0.260           2.200   \n",
       "75%            9.300             0.640        0.420           2.600   \n",
       "max           15.900             1.580        1.000          15.500   \n",
       "\n",
       "       chlorides  free sulfur dioxide  total sulfur dioxide   density  \\\n",
       "count   1119.000             1119.000              1119.000  1119.000   \n",
       "mean       0.088               16.248                47.448     0.997   \n",
       "std        0.050               10.745                34.263     0.002   \n",
       "min        0.012                1.000                 6.000     0.990   \n",
       "25%        0.070                8.000                22.000     0.996   \n",
       "50%        0.079               14.000                38.000     0.997   \n",
       "75%        0.090               22.000                63.000     0.998   \n",
       "max        0.611               72.000               289.000     1.004   \n",
       "\n",
       "             pH  sulphates   alcohol  total acid       dry  semi-dry  \\\n",
       "count  1119.000   1119.000  1119.000    1119.000  1119.000  1119.000   \n",
       "mean      3.309      0.661    10.410       9.143     0.918     0.076   \n",
       "std       0.155      0.179     1.065       1.831     0.275     0.265   \n",
       "min       2.740      0.370     8.400       5.320     0.000     0.000   \n",
       "25%       3.210      0.550     9.500       7.860     1.000     0.000   \n",
       "50%       3.310      0.620    10.100       8.750     1.000     0.000   \n",
       "75%       3.400      0.730    11.033      10.110     1.000     0.000   \n",
       "max       4.010      2.000    14.900      16.910     1.000     1.000   \n",
       "\n",
       "       semi-sweet  \n",
       "count    1119.000  \n",
       "mean        0.006  \n",
       "std         0.079  \n",
       "min         0.000  \n",
       "25%         0.000  \n",
       "50%         0.000  \n",
       "75%         0.000  \n",
       "max         1.000  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_features.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_features = train_features.drop(['dry','semi-dry','semi-sweet'],axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1119, 12)"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_features.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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